201
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Zhang Q, Liu X, Chen Z, Zhang S. Novel GIRlncRNA Signature for Predicting the Clinical Outcome and Therapeutic Response in NSCLC. Front Pharmacol 2022; 13:937531. [PMID: 35991889 PMCID: PMC9382191 DOI: 10.3389/fphar.2022.937531] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2022] [Accepted: 06/23/2022] [Indexed: 11/18/2022] Open
Abstract
Background: Non–small cell lung cancer (NSCLC) is highly malignant with driver somatic mutations and genomic instability. Long non-coding RNAs (lncRNAs) play a vital role in regulating these two aspects. However, the identification of somatic mutation-derived, genomic instability-related lncRNAs (GIRlncRNAs) and their clinical significance in NSCLC remains largely unexplored. Methods: Clinical information, gene mutation, and lncRNA expression data were extracted from TCGA database. GIRlncRNAs were screened by a mutator hypothesis-derived computational frame. Co-expression, GO, and KEGG enrichment analyses were performed to investigate the biological functions. Cox and LASSO regression analyses were performed to create a prognostic risk model based on the GIRlncRNA signature (GIRlncSig). The prediction efficiency of the model was evaluated by using correlation analyses with mutation, driver gene, immune microenvironment contexture, and therapeutic response. The prognostic performance of the model was evaluated by external datasets. A nomogram was established and validated in the testing set and TCGA dataset. Results: A total of 1446 GIRlncRNAs were selected from the screen, and the established GIRlncSig was used to classify patients into high- and low-risk groups. Enrichment analyses showed that GIRlncRNAs were mainly associated with nucleic acid metabolism and DNA damage repair pathways. Cox analyses further identified 19 GIRlncRNAs to construct a GIRlncSig-based risk score model. According to Cox regression and stratification analyses, 14 risk lncRNAs (AC023824.3, AC013287.1, AP000829.1, LINC01611, AC097451.1, AC025419.1, AC079949.2, LINC01600, AC004862.1, AC021594.1, MYRF-AS1, LINC02434, LINC02412, and LINC00337) and five protective lncRNAs (LINC01067, AC012645.1, AL512604.3, AC008278.2, and AC089998.1) were considered powerful predictors. Analyses of the model showed that these GIRlncRNAs were correlated with somatic mutation pattern, immune microenvironment infiltration, immunotherapeutic response, drug sensitivity, and survival of NSCLC patients. The GIRlncSig risk score model demonstrated good predictive performance (AUCs of ROC for 10-year survival was 0.69) and prognostic value in different NSCLC datasets. The nomogram comprising GIRlncSig and tumor stage exhibited improved robustness and feasibility for predicting NSCLC prognosis. Conclusion: The newly identified GIRlncRNAs are powerful biomarkers for clinical outcome and prognosis of NSCLC. Our study highlights that the GIRlncSig-based score model may be a useful tool for risk stratification and management of NSCLC patients, which deserves further evaluation in future prospective studies.
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Affiliation(s)
- Qiangzhe Zhang
- State Key Laboratory of Medicinal Chemical Biology and College of Pharmacy, Tianjin Key Laboratory of Molecular Drug Research, Nankai University, Tianjin, China
| | - Xicheng Liu
- Department of Physiology and Pathophysiology, School of Basic Medical Sciences, Capital Medical University, Beijing, China
| | - Zhinan Chen
- National Translational Science Center for Molecular Medicine, Department of Cell Biology, State Key Laboratory of Cancer Biology, Fourth Military Medical University, Xi’an, China
| | - Sihe Zhang
- Department of Cell Biology, School of Medicine, Nankai University, Tianjin, China
- *Correspondence: Sihe Zhang, , https://orcid.org/0000-0002-8923-1993
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202
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Li P, Chen X, Zhou S, Xia X, Wang E, Han R, Zeng D, Fei G, Wang R. High Expression of DEPDC1B Predicts Poor Prognosis in Lung Adenocarcinoma. J Inflamm Res 2022; 15:4171-4184. [PMID: 35912402 PMCID: PMC9332445 DOI: 10.2147/jir.s369219] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2022] [Accepted: 07/11/2022] [Indexed: 11/23/2022] Open
Abstract
Introduction Lung adenocarcinoma (LUAD) is the most common type of lung cancer. DEP domain-containing 1 B (DEPDC1B) is involved in the development of several cancers; however, its role in LUAD is unknown. Therefore, we aimed to determine the biological function and prognostic value of DEPDC1B in LUAD. Material and Methods We analyzed the correlation between DEPDC1B expression and the clinical features of LUAD and lung squamous cell carcinoma (LUSC). Survival was evaluated by generating Kaplan-Meier curves, which were used to analyze the relationship between DEPDC1B expression and prognosis in LUAD and LUSC. DEPDC1B expression in tumor and normal tissues from patients with LUAD and LUSC was determined using immunohistochemistry, and its clinical significance was analyzed. Finally, the correlation between the expression and biological function of DEPDC1B in LUAD was examined. Results Our findings revealed that DEPDC1B expression was higher in tumor tissues than that in normal tissues from patients with LUAD and LUSC (P < 0.001). These results were confirmed in clinical samples from patients using immunohistochemistry. Analysis of a dataset from The Cancer Genome Atlas (TCGA) showed that high DEPDC1B expression was associated with poor prognosis only in patients with LUAD (P < 0.001). Similarly, high DEPDC1B expression was related to shorter overall survival (OS) and progression-free interval (PFI) in patients with LUAD. These associations were not observed in LUSC. Functional enrichment analysis suggested that DEPDC1B promoted tumor development in LUAD by regulating the cell cycle. Conclusion High DEPDC1B expression predicts poor prognosis in patients with LUAD. Thus, DEPDC1B has potential as a therapeutic target for LUAD.
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Affiliation(s)
- Pulin Li
- Department of Respiratory and Critical Care Medicine, the First Affiliated Hospital of Anhui Medical University, Hefei, People's Republic of China
| | - Xiaojuan Chen
- Department of Infectious Diseases, Hefei Second People's Hospital, Hefei, People's Republic of China
| | - Sijing Zhou
- Department of Occupational Medicine, Hefei Third Clinical College of Anhui Medical University, Hefei, People's Republic of China
| | - Xingyuan Xia
- Department of Respiratory and Critical Care Medicine, the First Affiliated Hospital of Anhui Medical University, Hefei, People's Republic of China
| | - Enze Wang
- Department of Respiratory and Critical Care Medicine, the First Affiliated Hospital of Anhui Medical University, Hefei, People's Republic of China
| | - Rui Han
- Department of Respiratory and Critical Care Medicine, the First Affiliated Hospital of Anhui Medical University, Hefei, People's Republic of China
| | - Daxiong Zeng
- Department of Pulmonary and Critical Care Medicine, Suzhou Dushu Lake Hospital, Suzhou, People's Republic of China.,Department of Pulmonary and Critical Care Medicine, Dushu Lake Hospital Affiliated to Soochow University, Medical Center of Soochow University, Suzhou, People's Republic of China
| | - Guanghe Fei
- Department of Respiratory and Critical Care Medicine, the First Affiliated Hospital of Anhui Medical University, Hefei, People's Republic of China
| | - Ran Wang
- Department of Respiratory and Critical Care Medicine, the First Affiliated Hospital of Anhui Medical University, Hefei, People's Republic of China
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203
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Predicting the Prognostic Value of POLI Expression in Different Cancers via a Machine Learning Approach. Int J Mol Sci 2022; 23:ijms23158571. [PMID: 35955705 PMCID: PMC9369001 DOI: 10.3390/ijms23158571] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2022] [Revised: 07/22/2022] [Accepted: 07/25/2022] [Indexed: 11/17/2022] Open
Abstract
Translesion synthesis (TLS) is a cell signaling pathway that facilitates the tolerance of replication stress. Increased TLS activity, the particularly elevated expression of TLS polymerases, has been linked to resistance to cancer chemotherapeutics and significantly altered patient outcomes. Building upon current knowledge, we found that the expression of one of these TLS polymerases (POLI) is associated with significant differences in cervical and pancreatic cancer survival. These data led us to hypothesize that POLI expression is associated with cancer survival more broadly. However, when cancers were grouped cancer type, POLI expression did not have a significant prognostic value. We presented a binary cancer random forest classifier using 396 genes that influence the prognostic characteristics of POLI in cervical and pancreatic cancer selected via graphical least absolute shrinkage and selection operator. The classifier was then used to cluster patients with bladder, breast, colorectal, head and neck, liver, lung, ovary, melanoma, stomach, and uterus cancer when high POLI expression was associated with worsened survival (Group I) or with improved survival (Group II). This approach allowed us to identify cancers where POLI expression is a significant prognostic factor for survival (p = 0.028 in Group I and p = 0.0059 in Group II). Multiple independent validation approaches, including the gene ontology enrichment analysis and visualization tool and network visualization support the classification scheme. The functions of the selected genes involving mitochondrial translational elongation, Wnt signaling pathway, and tumor necrosis factor-mediated signaling pathway support their association with TLS and replication stress. Our multidisciplinary approach provides a novel way of identifying tumors where increased TLS polymerase expression is associated with significant differences in cancer survival.
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204
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Jiang C, Ward NP, Prieto-Farigua N, Kang YP, Thalakola A, Teng M, DeNicola GM. A CRISPR screen identifies redox vulnerabilities for KEAP1/NRF2 mutant non-small cell lung cancer. Redox Biol 2022; 54:102358. [PMID: 35667246 PMCID: PMC9168196 DOI: 10.1016/j.redox.2022.102358] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2022] [Revised: 05/17/2022] [Accepted: 05/30/2022] [Indexed: 12/02/2022] Open
Abstract
The redox regulator NRF2 is hyperactivated in a large percentage of non-small cell lung cancer (NSCLC) cases, which is associated with chemotherapy and radiation resistance. To identify redox vulnerabilities for KEAP1/NRF2 mutant NSCLC, we conducted a CRISPR-Cas9-based negative selection screen for antioxidant enzyme genes whose loss sensitized cells to sub-lethal concentrations of the superoxide (O2•-) -generating drug β-Lapachone. While our screen identified expected hits in the pentose phosphate pathway, the thioredoxin-dependent antioxidant system, and glutathione reductase, we also identified the mitochondrial superoxide dismutase 2 (SOD2) as one of the top hits. Surprisingly, β-Lapachone did not generate mitochondrial O2•- but rather SOD2 loss enhanced the efficacy of β-Lapachone due to loss of iron-sulfur protein function, loss of mitochondrial ATP maintenance and deficient NADPH production. Importantly, inhibition of mitochondrial electron transport activity sensitized cells to β-Lapachone, demonstrating that these effects may be translated to increase ROS sensitivity therapeutically.
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Affiliation(s)
- Chang Jiang
- Department of Cancer Physiology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, 33612, USA.
| | - Nathan P Ward
- Department of Cancer Physiology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, 33612, USA
| | - Nicolas Prieto-Farigua
- Department of Cancer Physiology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, 33612, USA
| | - Yun Pyo Kang
- Department of Cancer Physiology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, 33612, USA
| | - Anish Thalakola
- Department of Cancer Physiology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, 33612, USA
| | - Mingxiang Teng
- Department of Biostatistics and Bioinformatics, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, 33612, USA
| | - Gina M DeNicola
- Department of Cancer Physiology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, 33612, USA.
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205
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Kato S, Fujiwara Y, Hong DS. Targeting KRAS: Crossroads of Signaling and Immune Inhibition. JOURNAL OF IMMUNOTHERAPY AND PRECISION ONCOLOGY 2022; 5:68-78. [PMID: 36034582 PMCID: PMC9390702 DOI: 10.36401/jipo-22-5] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/28/2022] [Revised: 06/15/2022] [Accepted: 06/18/2022] [Indexed: 11/09/2022]
Abstract
ABSTRACT
Mutations of RAS are commonly seen in human cancers, especially in lung, colorectal, and pancreatic adenocarcinoma. Despite huge effort for decades, targeting RAS mutations has been “undruggable” because of the molecular instability of RAS protein inhibition. However, the recent discovery of the KRAS G12C inhibitor paved the way to expand therapeutic options for patients with cancer harboring the KRAS G12C mutation. At the same time, the successful development of immune checkpoint inhibitors (ICIs) drastically changed the paradigm of cancer treatment and resulted in a better understanding of the tumor immune microenvironment in patients with KRAS-mutant cancer. This review describes the following: the clinical characteristics of cancer with KRAS mutation; successful development of the KRAS G12C inhibitor and its impact on the tumor immune microenvironment; and potential new avenues such as the combination strategy using KRAS inhibitor and ICI, with preclinical and clinical rationales for overcoming resistance to inhibition of KRAS to improve therapeutic efficacy for patients with cancer harboring KRAS mutations.
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Affiliation(s)
- Shumei Kato
- 1 Center for Personalized Cancer Therapy and Division of Hematology and Oncology, Department of Medicine, UC San Diego Moores Cancer Center, La Jolla, CA, USA
| | - Yu Fujiwara
- 2 Department of Medicine, Icahn School of Medicine at Mount Sinai, Mount Sinai Beth Israel, New York, NY, USA
| | - David S. Hong
- 3 Department of Investigational Cancer Therapeutics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
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206
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Lázaro S, Lorz C, Enguita AB, Seller I, Paramio JM, Santos M. Pten and p53 Loss in the Mouse Lung Causes Adenocarcinoma and Sarcomatoid Carcinoma. Cancers (Basel) 2022; 14:cancers14153671. [PMID: 35954335 PMCID: PMC9367331 DOI: 10.3390/cancers14153671] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2022] [Accepted: 07/18/2022] [Indexed: 02/04/2023] Open
Abstract
Simple Summary Lung cancer is the world leading cause of cancer death. Therefore, a better understanding of the disease is needed to improve patient survival. In this work, we have deleted the tumor suppressor genes Pten and Trp53 in adult mouse lungs to analyze its impact on tumor formation. Double mutant mice develop Adenocarcinoma and Pulmonary Sarcomatoid Carcinoma, two different types of Non-Small Cell Carcinoma whose biological relationships are a matter of debate. The former is very common, with various models described and some therapeutic options. The latter is very rare with very poor prognosis, no effective treatment and lack of models reported so far. Interestingly, this study reports the first mouse model of pulmonary sarcomatoid carcinoma available for preclinical research. Abstract Lung cancer remains the leading cause of cancer deaths worldwide. Among the Non-Small Cell Carcinoma (NSCLC) category, Adenocarcinoma (ADC) represents the most common type, with different reported driver mutations, a bunch of models described and therapeutic options. Meanwhile, Pulmonary Sarcomatoid Carcinoma (PSC) is one of the rarest, with very poor outcomes, scarce availability of patient material, no effective therapies and no models available for preclinical research. Here, we describe that the combined deletion of Pten and Trp53 in the lungs of adult conditional mice leads to the development of both ADC and PSC irrespective of the lung targeted cell type after naphthalene induced airway epithelial regeneration. Although this model shows long latency periods and incomplete penetrance for tumor development, it is the first PSC mouse model reported so far, and sheds light on the relationships between ADC and PSC and their cells of origin. Moreover, human ADC show strong transcriptomic similarities to the mouse PSC, providing a link between both tumor types and the human ADC.
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Affiliation(s)
- Sara Lázaro
- Molecular Oncology Unit, Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas (CIEMAT), Ave Complutense 40, 28040 Madrid, Spain; (S.L.); (C.L.); (I.S.); (J.M.P.)
| | - Corina Lorz
- Molecular Oncology Unit, Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas (CIEMAT), Ave Complutense 40, 28040 Madrid, Spain; (S.L.); (C.L.); (I.S.); (J.M.P.)
- CIBERONC—Centro de Investigación Biomédica en Red de Cáncer, 28029 Madrid, Spain
- Institute of Biomedical Research Hospital “12 de Octubre” (imas12), Ave Córdoba s/n, 28041 Madrid, Spain
| | - Ana Belén Enguita
- Pathology Department, University Hospital “12 de Octubre”, 28041 Madrid, Spain;
| | - Iván Seller
- Molecular Oncology Unit, Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas (CIEMAT), Ave Complutense 40, 28040 Madrid, Spain; (S.L.); (C.L.); (I.S.); (J.M.P.)
| | - Jesús M. Paramio
- Molecular Oncology Unit, Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas (CIEMAT), Ave Complutense 40, 28040 Madrid, Spain; (S.L.); (C.L.); (I.S.); (J.M.P.)
- CIBERONC—Centro de Investigación Biomédica en Red de Cáncer, 28029 Madrid, Spain
- Institute of Biomedical Research Hospital “12 de Octubre” (imas12), Ave Córdoba s/n, 28041 Madrid, Spain
| | - Mirentxu Santos
- Molecular Oncology Unit, Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas (CIEMAT), Ave Complutense 40, 28040 Madrid, Spain; (S.L.); (C.L.); (I.S.); (J.M.P.)
- CIBERONC—Centro de Investigación Biomédica en Red de Cáncer, 28029 Madrid, Spain
- Institute of Biomedical Research Hospital “12 de Octubre” (imas12), Ave Córdoba s/n, 28041 Madrid, Spain
- Correspondence:
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207
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Robles-Valero J, Fernández-Nevado L, Cuadrado M, Lorenzo-Martín LF, Fernández-Pisonero I, Abad A, Redín E, Montuenga L, Martín-Zanca D, Bigas A, Mallo M, Dosil M, Bustelo XR. Characterization of the spectrum of trivalent VAV1-mutation-driven tumors using a gene-edited mouse model. Mol Oncol 2022; 16:3533-3553. [PMID: 35895495 PMCID: PMC9533688 DOI: 10.1002/1878-0261.13295] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2022] [Revised: 07/07/2022] [Accepted: 07/26/2022] [Indexed: 11/28/2022] Open
Abstract
Mutations in the VAV1 guanine nucleotide exchange factor 1 have been recently found in peripheral T cell lymphoma and nonsmall‐cell lung cancer (NSCLC). To understand their pathogenic potential, we generated a gene‐edited mouse model that expresses a VAV1 mutant protein that recapitulates the signalling alterations present in the VAV1 mutant subclass most frequently found in tumours. We could not detect any overt tumourigenic process in those mice. However, the concurrent elimination of the Trp53 tumour suppressor gene in them drives T cell lymphomagenesis. This process represents an exacerbation of the normal functions that wild‐type VAV1 plays in follicular helper T cells. We also found that, in combination with the Kras oncogene, the VAV1 mutant version favours progression of NSCLC. These data indicate that VAV1 mutations play critical, although highly cell‐type‐specific, roles in tumourigenesis. They also indicate that such functions are contingent on the mutational landscape of the tumours involved.
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Affiliation(s)
- Javier Robles-Valero
- Molecular Mechanisms of Cancer Program, Centro de Investigación del Cáncer, CSIC-University of Salamanca, 37007, Salamanca, Spain.,Instituto de Biología Molecular y Celular del Cáncer, CSIC-University of Salamanca, 37007, Salamanca, Spain.,Centro de Investigación Biomédica en Red de Cáncer (CIBERONC), CSIC-University of Salamanca, 37007, Salamanca, Spain
| | - Lucía Fernández-Nevado
- Molecular Mechanisms of Cancer Program, Centro de Investigación del Cáncer, CSIC-University of Salamanca, 37007, Salamanca, Spain.,Instituto de Biología Molecular y Celular del Cáncer, CSIC-University of Salamanca, 37007, Salamanca, Spain.,Centro de Investigación Biomédica en Red de Cáncer (CIBERONC), CSIC-University of Salamanca, 37007, Salamanca, Spain
| | - Myriam Cuadrado
- Molecular Mechanisms of Cancer Program, Centro de Investigación del Cáncer, CSIC-University of Salamanca, 37007, Salamanca, Spain.,Instituto de Biología Molecular y Celular del Cáncer, CSIC-University of Salamanca, 37007, Salamanca, Spain.,Centro de Investigación Biomédica en Red de Cáncer (CIBERONC), CSIC-University of Salamanca, 37007, Salamanca, Spain
| | - L Francisco Lorenzo-Martín
- Molecular Mechanisms of Cancer Program, Centro de Investigación del Cáncer, CSIC-University of Salamanca, 37007, Salamanca, Spain.,Instituto de Biología Molecular y Celular del Cáncer, CSIC-University of Salamanca, 37007, Salamanca, Spain.,Centro de Investigación Biomédica en Red de Cáncer (CIBERONC), CSIC-University of Salamanca, 37007, Salamanca, Spain
| | - Isabel Fernández-Pisonero
- Molecular Mechanisms of Cancer Program, Centro de Investigación del Cáncer, CSIC-University of Salamanca, 37007, Salamanca, Spain.,Instituto de Biología Molecular y Celular del Cáncer, CSIC-University of Salamanca, 37007, Salamanca, Spain.,Centro de Investigación Biomédica en Red de Cáncer (CIBERONC), CSIC-University of Salamanca, 37007, Salamanca, Spain
| | - Antonio Abad
- Molecular Mechanisms of Cancer Program, Centro de Investigación del Cáncer, CSIC-University of Salamanca, 37007, Salamanca, Spain.,Centro de Investigación Biomédica en Red de Cáncer (CIBERONC), CSIC-University of Salamanca, 37007, Salamanca, Spain
| | - Esther Redín
- Centro de Investigación Biomédica en Red de Cáncer (CIBERONC), CSIC-University of Salamanca, 37007, Salamanca, Spain.,Solid Tumors Program, Center of Applied Medical Research, University of Navarra, 31008, Pamplona, Spain
| | - Luis Montuenga
- Centro de Investigación Biomédica en Red de Cáncer (CIBERONC), CSIC-University of Salamanca, 37007, Salamanca, Spain.,Solid Tumors Program, Center of Applied Medical Research, University of Navarra, 31008, Pamplona, Spain
| | - Dionisio Martín-Zanca
- Instituto de Biología Funcional y Genómica, CSIC-University of Salamanca, 37007, Salamanca, Spain
| | - Anna Bigas
- Centro de Investigación Biomédica en Red de Cáncer (CIBERONC), CSIC-University of Salamanca, 37007, Salamanca, Spain.,Institut Hospital del Mar d'Investigacions Médiques, 08003, Barcelona, Spain
| | - Moisés Mallo
- Gulbenkian Institute, 2780-156, Oeiras, Portugal
| | - Mercedes Dosil
- Molecular Mechanisms of Cancer Program, Centro de Investigación del Cáncer, CSIC-University of Salamanca, 37007, Salamanca, Spain.,Instituto de Biología Molecular y Celular del Cáncer, CSIC-University of Salamanca, 37007, Salamanca, Spain.,Centro de Investigación Biomédica en Red de Cáncer (CIBERONC), CSIC-University of Salamanca, 37007, Salamanca, Spain
| | - Xosé R Bustelo
- Molecular Mechanisms of Cancer Program, Centro de Investigación del Cáncer, CSIC-University of Salamanca, 37007, Salamanca, Spain.,Instituto de Biología Molecular y Celular del Cáncer, CSIC-University of Salamanca, 37007, Salamanca, Spain.,Centro de Investigación Biomédica en Red de Cáncer (CIBERONC), CSIC-University of Salamanca, 37007, Salamanca, Spain
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208
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Du K, Sun S, Jiang T, Liu T, Zuo X, Xia X, Liu X, Wang Y, Bu Y. E2F2 promotes lung adenocarcinoma progression through B-Myb- and FOXM1-facilitated core transcription regulatory circuitry. Int J Biol Sci 2022; 18:4151-4170. [PMID: 35844795 PMCID: PMC9274503 DOI: 10.7150/ijbs.72386] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2022] [Accepted: 06/14/2022] [Indexed: 11/15/2022] Open
Abstract
Lung adenocarcinoma (LUAD) causes severe cancer death worldwide. E2F2 is a canonical transcription factor implicated in transcription regulation, cell cycle and tumorigenesis. The role of E2F2 as well as its transcription regulatory network in LUAD remains obscure. In this study, we constructed a weighted gene co-expression network and identified several key modules and networks overrepresented in LUAD, including the E2F2-centered transcription regulatory network. Function analysis revealed that E2F2 overexpression accelerated cell growth, cell cycle progression and cell motility in LUAD cells whereas E2F2 knockdown inhibited these malignant phenotypes. Mechanistic investigations uncovered various E2F2-regulated downstream genes and oncogenic signaling pathways. Notably, three core transcription factors of E2F2, B-Myb and FOXM1 from the LUAD transcription regulatory network exhibited positive expression correlation, associated with each other, mutually transactivated each other, and regulated similar downstream gene cascades, hence constituting a consolidated core transcription regulatory circuitry. Moreover, E2F2 could promote and was essentially required for LUAD growth in orthotopic mouse models. Prognosis modeling revealed that a two-gene signature of E2F2 and PLK1 from the transcription regulatory circuitry remarkably stratified patients into low- and high-risk groups. Collectively, our results clarified the critical roles of E2F2 and the exquisite core transcription regulatory circuitry of E2F2/B-Myb/FOXM1 in LUAD progression.
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Affiliation(s)
- Kailong Du
- Department of Biochemistry and Molecular Biology, College of Basic Medical Sciences, Chongqing Medical University, Chongqing 400016, China.,Molecular Medicine and Cancer Research Center, Chongqing Medical University, Chongqing 400016, China
| | - Shijie Sun
- Department of Biochemistry and Molecular Biology, College of Basic Medical Sciences, Chongqing Medical University, Chongqing 400016, China.,Molecular Medicine and Cancer Research Center, Chongqing Medical University, Chongqing 400016, China
| | - Tinghui Jiang
- Department of Biochemistry and Molecular Biology, College of Basic Medical Sciences, Chongqing Medical University, Chongqing 400016, China.,Molecular Medicine and Cancer Research Center, Chongqing Medical University, Chongqing 400016, China
| | - Tao Liu
- Department of Biochemistry and Molecular Biology, College of Basic Medical Sciences, Chongqing Medical University, Chongqing 400016, China.,Molecular Medicine and Cancer Research Center, Chongqing Medical University, Chongqing 400016, China
| | - Xiaofeng Zuo
- Department of Biochemistry and Molecular Biology, College of Basic Medical Sciences, Chongqing Medical University, Chongqing 400016, China.,Molecular Medicine and Cancer Research Center, Chongqing Medical University, Chongqing 400016, China
| | - Xing Xia
- Department of Biochemistry and Molecular Biology, College of Basic Medical Sciences, Chongqing Medical University, Chongqing 400016, China.,Molecular Medicine and Cancer Research Center, Chongqing Medical University, Chongqing 400016, China
| | - Xianjun Liu
- Department of Biochemistry and Molecular Biology, College of Basic Medical Sciences, Chongqing Medical University, Chongqing 400016, China.,Molecular Medicine and Cancer Research Center, Chongqing Medical University, Chongqing 400016, China
| | - Yitao Wang
- Department of Biochemistry and Molecular Biology, College of Basic Medical Sciences, Chongqing Medical University, Chongqing 400016, China.,Molecular Medicine and Cancer Research Center, Chongqing Medical University, Chongqing 400016, China
| | - Youquan Bu
- Department of Biochemistry and Molecular Biology, College of Basic Medical Sciences, Chongqing Medical University, Chongqing 400016, China.,Molecular Medicine and Cancer Research Center, Chongqing Medical University, Chongqing 400016, China
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209
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Moorthi S, Berger AH. All About That Ras: Novel Fusion Drives Ras Pathway Activation in Lung Cancer. Clin Cancer Res 2022; 28:2983-2985. [PMID: 35512219 PMCID: PMC9451010 DOI: 10.1158/1078-0432.ccr-22-0736] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2022] [Revised: 04/18/2022] [Accepted: 04/26/2022] [Indexed: 01/17/2023]
Abstract
Lung cancers in never- and light-smokers often harbor targetable oncogenic mutations in Ras pathway genes. Here, a novel OCLN-RASGRF1 fusion is identified in an otherwise Ras wild-type lung tumor. Studying this and other RASGRF1 fusions, the authors show that these fusions lead to malignant phenotypes that can be reversed by MEK inhibition. See related article by Hunihan et al., p. 3091.
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Affiliation(s)
- Sitapriya Moorthi
- Human Biology Division, Fred Hutchinson Cancer Research
Center, Seattle, WA
| | - Alice H. Berger
- Human Biology Division, Fred Hutchinson Cancer Research
Center, Seattle, WA,Herbold Computational Biology Program, Public Health
Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA,Department of Genome Sciences, University of Washington,
Seattle, WA
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210
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Parker AL, Toulabi L, Oike T, Kanke Y, Patel D, Tada T, Taylor S, Beck JA, Bowman E, Reyzer ML, Butcher D, Kuhn S, Pauly GT, Krausz KW, Gonzalez FJ, Hussain SP, Ambs S, Ryan BM, Wang XW, Harris CC. Creatine riboside is a cancer cell-derived metabolite associated with arginine auxotrophy. J Clin Invest 2022; 132:157410. [PMID: 35838048 PMCID: PMC9282934 DOI: 10.1172/jci157410] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2021] [Accepted: 05/25/2022] [Indexed: 12/17/2022] Open
Abstract
The metabolic dependencies of cancer cells have substantial potential to be exploited to improve the diagnosis and treatment of cancer. Creatine riboside (CR) is identified as a urinary metabolite associated with risk and prognosis in lung and liver cancer. However, the source of high CR levels in patients with cancer as well as their implications for the treatment of these aggressive cancers remain unclear. By integrating multiomics data on lung and liver cancer, we have shown that CR is a cancer cell–derived metabolite. Global metabolomics and gene expression analysis of human tumors and matched liquid biopsies, together with functional studies, revealed that dysregulation of the mitochondrial urea cycle and a nucleotide imbalance were associated with high CR levels and indicators of a poor prognosis. This metabolic phenotype was associated with reduced immune infiltration and supported rapid cancer cell proliferation that drove aggressive tumor growth. CRhi cancer cells were auxotrophic for arginine, revealing a metabolic vulnerability that may be exploited therapeutically. This highlights the potential of CR not only as a poor-prognosis biomarker but also as a companion biomarker to inform the administration of arginine-targeted therapies in precision medicine strategies to improve survival for patients with cancer.
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Affiliation(s)
- Amelia L Parker
- Laboratory of Human Carcinogenesis, Center for Cancer Research, National Cancer Institute (NCI), NIH, Bethesda, Maryland, USA
| | - Leila Toulabi
- Laboratory of Human Carcinogenesis, Center for Cancer Research, National Cancer Institute (NCI), NIH, Bethesda, Maryland, USA
| | - Takahiro Oike
- Laboratory of Human Carcinogenesis, Center for Cancer Research, National Cancer Institute (NCI), NIH, Bethesda, Maryland, USA
| | - Yasuyuki Kanke
- Laboratory of Human Carcinogenesis, Center for Cancer Research, National Cancer Institute (NCI), NIH, Bethesda, Maryland, USA
| | - Daxeshkumar Patel
- Laboratory of Human Carcinogenesis, Center for Cancer Research, National Cancer Institute (NCI), NIH, Bethesda, Maryland, USA
| | - Takeshi Tada
- Laboratory of Human Carcinogenesis, Center for Cancer Research, National Cancer Institute (NCI), NIH, Bethesda, Maryland, USA
| | - Sheryse Taylor
- Laboratory of Human Carcinogenesis, Center for Cancer Research, National Cancer Institute (NCI), NIH, Bethesda, Maryland, USA
| | - Jessica A Beck
- Laboratory of Human Carcinogenesis, Center for Cancer Research, National Cancer Institute (NCI), NIH, Bethesda, Maryland, USA
| | - Elise Bowman
- Laboratory of Human Carcinogenesis, Center for Cancer Research, National Cancer Institute (NCI), NIH, Bethesda, Maryland, USA
| | - Michelle L Reyzer
- National Research Resource for Imaging Mass Spectrometry, Vanderbilt University, Nashville, Tennessee, USA
| | - Donna Butcher
- Pathology and Histotechnology Laboratory, Frederick National Laboratory, Frederick, Maryland, USA
| | - Skyler Kuhn
- Center for Cancer Research Collaborative Bioinformatics Resource
| | | | | | | | - S Perwez Hussain
- Laboratory of Human Carcinogenesis, Center for Cancer Research, National Cancer Institute (NCI), NIH, Bethesda, Maryland, USA
| | - Stefan Ambs
- Laboratory of Human Carcinogenesis, Center for Cancer Research, National Cancer Institute (NCI), NIH, Bethesda, Maryland, USA
| | - Bríd M Ryan
- Laboratory of Human Carcinogenesis, Center for Cancer Research, National Cancer Institute (NCI), NIH, Bethesda, Maryland, USA
| | - Xin Wei Wang
- Laboratory of Human Carcinogenesis, Center for Cancer Research, National Cancer Institute (NCI), NIH, Bethesda, Maryland, USA.,Liver Cancer Program, Center for Cancer Research, NCI, NIH, Bethesda, Maryland, USA
| | - Curtis C Harris
- Laboratory of Human Carcinogenesis, Center for Cancer Research, National Cancer Institute (NCI), NIH, Bethesda, Maryland, USA
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211
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Wang Z, Liu Y, Zhan X, Wang X, Zhang C, Qin L, Liu L, Qin S. A novel prognostic signature of metastasis-associated genes and personalized therapeutic strategy for lung adenocarcinoma patients. Aging (Albany NY) 2022; 14:5571-5589. [PMID: 35830566 PMCID: PMC9320549 DOI: 10.18632/aging.204169] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2021] [Accepted: 06/18/2022] [Indexed: 01/01/2023]
Abstract
Lung adenocarcinoma (LUAD) is a highly invasive and metastatic malignant tumor with high morbidity and mortality. This study aimed to construct a prognostic signature for LUAD patients based on metastasis-associated genes (MAGs). RNA expression profiles were downloaded from the Cancer Genome Atlas (TCGA) database. RRA method was applied to identify differentially expressed MAGs. A total of 192 significantly robust MAGs were determined among seven GEO datasets. MAGs were initially selected through the Lasso Cox regression analysis and 6 MAGs were included to construct a prognostic signature model. Transcriptome profile, patient prognosis, correlation between the risk score and clinicopathological features, immune cell infiltration characteristics, immunotherapy sensitivity and chemotherapy sensitivity differed between low- and high-risk groups after grouping according to median risk score. The reliability and applicability of the signature were further validated in the GSE31210, GSE50081 and GSE68465 cohort. CMap predicted 62 small molecule drugs on the base of the prognostic MAGs. Targeted drug staurosporine had hydrogen bonding with Gln-172 of SLC2A1, which is one of MAGs. Staurosporine could inhibit cell migration in A549 and H1299. We further verified mRNA and protein expression of 6 MAGs in A549 and H1299. The signature can serve as a promising prognostic tool and may provide a novel personalized therapeutic strategy for LUAD patients.
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Affiliation(s)
- Zhihao Wang
- Hubei University of Science and Technology Xianning Medical College, Xianning 437100, China
| | - Yusi Liu
- Hubei University of Science and Technology Xianning Medical College, Xianning 437100, China
| | - Xiaoqian Zhan
- Institute of Pathology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Xi Wang
- Institute of Pathology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Chao Zhang
- Institute of Pathology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Lingzhi Qin
- Institute of Pathology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Liwei Liu
- Institute of Pathology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Shenghui Qin
- Institute of Pathology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
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212
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Alen BO, Estévez-Pérez LS, Hermida-Romero MT, Reguera-Arias A, García-Campelo R, de la Torre-Bravos M, Concha Á. Molecular Targets in Lung Cancer: Study of the Evolution of Biomarkers Associated with Treatment with Tyrosine Kinase Inhibitors—Has NF1 Tumor Suppressor a Key Role in Acquired Resistance? Cancers (Basel) 2022; 14:cancers14143323. [PMID: 35884384 PMCID: PMC9313361 DOI: 10.3390/cancers14143323] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2022] [Revised: 07/04/2022] [Accepted: 07/05/2022] [Indexed: 02/05/2023] Open
Abstract
Simple Summary Resistance to tyrosine kinase inhibitors in patients with EGFR-mutated non-small cell lung cancer is crucial in the development of the disease. Detecting the mechanisms of this resistance is fundamental in lung cancer research, so we evaluated the presence of EGFR mutations in circulating free DNA in plasma of patients with NSCLC under oncological treatment. We studied the role of EGFR and other driver mutations in their involvement in acquired resistance to treatment with EGFR-TKIs and we analyzed the role of liquid biopsy as a non-invasive diagnostic method. Our results showed that liquid biopsy is a very useful tool monitoring the evolution of the disease and the resistance to TKIs. The detection of other concomitant mutations in driver genes is also key in this regard, so we found that alterations in the NFI tumor suppressor gene could be playing a role in disease progression and resistance to targeted therapies. Abstract The application to clinical practice of liquid biopsy in patients with lung cancer has led to an advance in the diagnosis and monitoring of the disease. Detection of alterations in EGFR genes related to TKI treatment in EGFR-mutated non-small cell lung cancer patients is a routine method in pathology laboratories. The primary objective of this work was to analyze the presence of EGFR mutations in cfDNA of 86 patients with lung cancer undergoing oncological treatment related to response to treatment with TKIs. Secondarily, we evaluated the dynamics of EGFR mutations, the presence of the T790M alteration and its relationship with drug resistance and analyzed by NGS molecular alterations in cfDNA of patients with discordant progression. Our results demonstrate that understanding the mutational status of patients treated with TKIs over time is essential to monitor disease progression. In this context, liquid biopsy is a fundamental key. In addition, it is not only necessary to detect EGFR mutations, but also other concomitant mutations that would be influencing the development of the disease. In this sense, we have discovered that mutations in the NF1 tumor suppressor gene could be exerting an as yet unknown function in lung cancer.
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Affiliation(s)
- Begoña O. Alen
- Department of Anatomical Pathology, University Hospital Complex A Coruña, 15006 A Coruña, Spain; (M.T.H.-R.); (A.R.-A.); (Á.C.)
- Molecular Biology Area, Department of Anatomical Pathology, University Hospital Complex A Coruña, 15006 A Coruña, Spain
- Correspondence: (B.O.A.); (L.S.E.-P.); Tel.: +34-981-178-000 (B.O.A.); +34-981-178-000 (L.S.E.-P.)
| | - Lara S. Estévez-Pérez
- Department of Anatomical Pathology, University Hospital Complex A Coruña, 15006 A Coruña, Spain; (M.T.H.-R.); (A.R.-A.); (Á.C.)
- Molecular Biology Area, Department of Anatomical Pathology, University Hospital Complex A Coruña, 15006 A Coruña, Spain
- Correspondence: (B.O.A.); (L.S.E.-P.); Tel.: +34-981-178-000 (B.O.A.); +34-981-178-000 (L.S.E.-P.)
| | - María Teresa Hermida-Romero
- Department of Anatomical Pathology, University Hospital Complex A Coruña, 15006 A Coruña, Spain; (M.T.H.-R.); (A.R.-A.); (Á.C.)
| | - Ana Reguera-Arias
- Department of Anatomical Pathology, University Hospital Complex A Coruña, 15006 A Coruña, Spain; (M.T.H.-R.); (A.R.-A.); (Á.C.)
| | | | | | - Ángel Concha
- Department of Anatomical Pathology, University Hospital Complex A Coruña, 15006 A Coruña, Spain; (M.T.H.-R.); (A.R.-A.); (Á.C.)
- Molecular Biology Area, Department of Anatomical Pathology, University Hospital Complex A Coruña, 15006 A Coruña, Spain
- Biobank of A Coruña, Instituto de Investigación Biomédica A Coruña (INIBIC), 15006 A Coruña, Spain
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213
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Prognostic value of metabolic genes in lung adenocarcinoma via integrative analyses. Genomics 2022; 114:110425. [PMID: 35803451 DOI: 10.1016/j.ygeno.2022.110425] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2022] [Revised: 05/12/2022] [Accepted: 06/30/2022] [Indexed: 11/24/2022]
Abstract
BACKGROUND Lung adenocarcinoma (LUAD) is the most common malignant lung tumor. Metabolic pathway reprogramming is an important hallmark of physiologic changes in cancers. However, the mechanisms through which these metabolic genes and pathways function in LUAD as well as their prognostic values have not been fully established. METHODS Four publicly available datasets from GEO and TCGA were used to identify differentially expressed genes (DEGs) in LUAD, which were then subjected to GO and KEGG pathway enrichment analysis. Associations between metabolic gene expressions with overall survival, tumor stage, TP53 mutation status, and infiltrated immune cells were investigated. Protein-protein interactions were evaluated using GeneMANIA and Metascape. RESULTS By integrating four public datasets, 247 DEGs were identified in LUAD. These DEGs were significantly enriched in regulation of chromosome segregation, centromeric region, and histone kinase activity GO terms, as well as in cell cycle, p53 signaling pathway, metabolic pathways, and other KEGG pathways. Elevated expressions of ten metabolic genes in LUAD were significantly associated with poor survival outcomes. These metabolic genes were highly expressed in more advanced tumor stage and TP53 mutated patients. Moreover, expression levels were significantly correlated with tumor-infiltrating immune cells. PPI interaction analysis revealed that the top 20 genes interacting with each metabolic gene were significantly enriched in DNA replication, response to radiation, and central carbon metabolism in cancer. CONCLUSION This study elucidates on molecular changes in metabolic genes in LUAD, which may inform the development of genetically oriented diagnostic approaches and effective treatment options.
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214
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Mogenet A, Barlesi F, Besse B, Michiels S, Karimi M, Tran-Dien A, Girard N, Mazieres J, Audigier-Valette C, Locatelli-Sanchez M, Kamal M, Gestraud P, Hamza A, Jacquet A, Jimenez M, Yara S, Greillier L, Bertucci F, Planchard D, Soria JC, Bieche I, Tomasini P. Molecular profiling of non-small-cell lung cancer patients with or without brain metastases included in the randomized SAFIR02-LUNG trial and association with intracranial outcome. Lung Cancer 2022; 169:31-39. [DOI: 10.1016/j.lungcan.2022.05.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2022] [Revised: 04/13/2022] [Accepted: 05/10/2022] [Indexed: 10/18/2022]
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215
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The Therapeutic Potential of the Restoration of the p53 Protein Family Members in the EGFR-Mutated Lung Cancer. Int J Mol Sci 2022; 23:ijms23137213. [PMID: 35806218 PMCID: PMC9267050 DOI: 10.3390/ijms23137213] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2022] [Revised: 06/24/2022] [Accepted: 06/27/2022] [Indexed: 02/06/2023] Open
Abstract
Despite the recent development of precision medicine and targeted therapies, lung cancer remains the top cause of cancer-related mortality worldwide. The patients diagnosed with metastatic disease have a five-year survival rate lower than 6%. In metastatic disease, EGFR is the most common driver of mutation, with the most common co-driver hitting TP53. EGFR-positive patients are offered the frontline treatment with tyrosine kinase inhibitors, yet the development of resistance and the lack of alternative therapies make this group of patients only fit for clinical trial participation. Since mutant p53 is the most common co-driver in the metastatic setting, therapies reactivating the p53 pathway might serve as a promising alternative therapeutic approach in patients who have developed a resistance to tyrosine kinase inhibitors. This review focuses on the molecular background of EGFR-mutated lung cancer and discusses novel therapeutic options converging on the reactivation of p53 tumor suppressor pathways.
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216
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Zhang S, Duan S, Xie Z, Bao W, Xu B, Yang W, Zhou L. Epigenetic Therapeutics Targeting NRF2/KEAP1 Signaling in Cancer Oxidative Stress. Front Pharmacol 2022; 13:924817. [PMID: 35754474 PMCID: PMC9218606 DOI: 10.3389/fphar.2022.924817] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2022] [Accepted: 05/18/2022] [Indexed: 02/05/2023] Open
Abstract
The transcription factor nuclear factor erythroid 2-related factor 2 (NRF2) and its negative regulator kelch-like ECH-associated protein 1 (KEAP1) regulate various genes involved in redox homeostasis, which protects cells from stress conditions such as reactive oxygen species and therefore exerts beneficial effects on suppression of carcinogenesis. In addition to their pivotal role in cellular physiology, accumulating innovative studies indicated that NRF2/KEAP1-governed pathways may conversely be oncogenic and cause therapy resistance, which was profoundly modulated by epigenetic mechanism. Therefore, targeting epigenetic regulation in NRF2/KEAP1 signaling is a potential strategy for cancer treatment. In this paper, the current knowledge on the role of NRF2/KEAP1 signaling in cancer oxidative stress is presented, with a focus on how epigenetic modifications might influence cancer initiation and progression. Furthermore, the prospect that epigenetic changes may be used as therapeutic targets for tumor treatment is also investigated.
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Affiliation(s)
- Shunhao Zhang
- State Key Laboratory of Oral Diseases, National Clinical Research Center for Oral Diseases, West China Hospital of Stomatology, Sichuan University, Chengdu, China
| | - Sining Duan
- State Key Laboratory of Oral Diseases, National Clinical Research Center for Oral Diseases, West China Hospital of Stomatology, Sichuan University, Chengdu, China
| | - Zhuojun Xie
- State Key Laboratory of Oral Diseases, National Clinical Research Center for Oral Diseases, West China Hospital of Stomatology, Sichuan University, Chengdu, China
| | - Wanlin Bao
- State Key Laboratory of Oral Diseases, National Clinical Research Center for Oral Diseases, West China Hospital of Stomatology, Sichuan University, Chengdu, China
| | - Bo Xu
- Department of Stomatology, Panzhihua Central Hospital, Panzhihua, China
| | - Wenbin Yang
- State Key Laboratory of Oral Diseases, National Clinical Research Center for Oral Diseases, Department of Oral and Maxillofacial Surgery, Department of Medical Affairs, West China Hospital of Stomatology, Sichuan University, Chengdu, China
| | - Lingyun Zhou
- Center of Infectious Diseases, West China Hospital of Sichuan University, Chengdu, China
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217
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Vav1 accelerates Ras-driven lung cancer and modulates its tumor microenvironment. Cell Signal 2022; 97:110395. [PMID: 35752351 DOI: 10.1016/j.cellsig.2022.110395] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2022] [Revised: 06/13/2022] [Accepted: 06/20/2022] [Indexed: 11/23/2022]
Abstract
The potential impact of Vav1 on human cancer was only recently acknowledged, as it is detected as a mutant or an overexpressed gene in various cancers, including lung cancer. Vav1, which is normally and exclusively expressed in the hematopoietic system functions as a specific GDP/GTP nucleotide exchange factor (GEF), strictly regulated by tyrosine phosphorylation. To investigate whether Vav1 plays a causative or facilitating role in-vivo in lung cancer development and to examine whether it co-operates with other oncogenes, such as mutant K-Ras, we generated novel mouse strains that express: Vav1 or K-RasG12D in type II pneumocytes, as well as a transgenic mouse line that expresses both Vav1 and K-RasG12D in these cells. Coexpression of Vav1 and K-RasG12D in the lungs dramatically increased malignant lung cancer lesions, and did so significantly faster than K-RasG12D alone, strongly suggesting that these two oncogenes synergize to enhance lung tumor development. Vav1 expression alone had no apparent effects on lung tumorigenesis. The increase in lung cancer in K-RasG12D/Vav1 mice was accompanied by an increase in B-cell, T-cells, and monocyte infiltration in the tumor microenvironment. Concomitantly, ERK phosphorylation was highly elevated in the lungs of K-RasG12 D/Vav1 mice. Also, several cytokines such as IL-4 and IL-13 which play a significant role in the immune system, were elevated in lungs of Vav1 and K-RasG12 D/Vav1 mice. Our findings emphasize the contribution of Vav1 to lung tumor development through its signaling properties.
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218
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Garmendia I, Redin E, Montuenga LM, Calvo A. YES1: a novel therapeutic target and biomarker in cancer. Mol Cancer Ther 2022; 21:1371-1380. [PMID: 35732509 DOI: 10.1158/1535-7163.mct-21-0958] [Citation(s) in RCA: 17] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2021] [Revised: 05/09/2022] [Accepted: 06/13/2022] [Indexed: 11/16/2022]
Abstract
YES1 is a non-receptor tyrosine kinase that belongs to the SRC family of kinases (SFKs) and controls multiple cancer signaling pathways. YES1 is amplified and overexpressed in many tumor types, where it promotes cell proliferation, survival and invasiveness. Therefore, YES1 has been proposed as an emerging target in solid tumors. In addition, studies have shown that YES1 is a prognostic biomarker and a predictor of dasatinib activity. Several SFKs-targeting drugs have been developed and some of them have reached clinical trials. However, these drugs have encountered challenges to their utilization in the clinical practice in unselected patients due to toxicity and lack of efficacy. In the case of YES1, novel specific inhibitors have been developed and tested in preclinical models, with impressive antitumor effects. In this review, we summarize the structure and activation of YES1 and describe its role in cancer as a target and prognostic and companion biomarker. We also address the efficacy of SFKs inhibitors that are currently in clinical trials, highlighting the main hindrances for their clinical use. Current available information strongly suggests that inhibiting YES1 in tumors with high expression of this protein is a promising strategy against cancer.
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Affiliation(s)
- Irati Garmendia
- INSERM UMRS1138. Centre de Recherche des Cordeliers, Paris, France
| | | | - Luis M Montuenga
- CIMA and Clinica Universidad de Navarra, Pamplona, Navarra, Spain
| | - Alfonso Calvo
- Center for Applied Medical Research (CIMA), Pamplona, Spain
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219
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NSCLC as the Paradigm of Precision Medicine at Its Finest: The Rise of New Druggable Molecular Targets for Advanced Disease. Int J Mol Sci 2022; 23:ijms23126748. [PMID: 35743191 PMCID: PMC9223783 DOI: 10.3390/ijms23126748] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2022] [Revised: 06/09/2022] [Accepted: 06/14/2022] [Indexed: 02/04/2023] Open
Abstract
Standard treatment for advanced non-small cell lung cancer (NSCLC) historically consisted of systemic cytotoxic chemotherapy until the early 2000s, when precision medicine led to a revolutionary change in the therapeutic scenario. The identification of oncogenic driver mutations in EGFR, ALK and ROS1 rearrangements identified a subset of patients who largely benefit from targeted agents. However, since the proportion of patients with druggable alterations represents a minority, the discovery of new potential driver mutations is still an urgent clinical need. We provide a comprehensive review of the emerging molecular targets in NSCLC and their applications in the advanced setting.
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220
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Mekonnen N, Yang H, Shin YK. Homologous Recombination Deficiency in Ovarian, Breast, Colorectal, Pancreatic, Non-Small Cell Lung and Prostate Cancers, and the Mechanisms of Resistance to PARP Inhibitors. Front Oncol 2022; 12:880643. [PMID: 35785170 PMCID: PMC9247200 DOI: 10.3389/fonc.2022.880643] [Citation(s) in RCA: 20] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2022] [Accepted: 05/18/2022] [Indexed: 11/30/2022] Open
Abstract
Homologous recombination (HR) is a highly conserved DNA repair mechanism that protects cells from exogenous and endogenous DNA damage. Breast cancer 1 (BRCA1) and breast cancer 2 (BRCA2) play an important role in the HR repair pathway by interacting with other DNA repair proteins such as Fanconi anemia (FA) proteins, ATM, RAD51, PALB2, MRE11A, RAD50, and NBN. These pathways are frequently aberrant in cancer, leading to the accumulation of DNA damage and genomic instability known as homologous recombination deficiency (HRD). HRD can be caused by chromosomal and subchromosomal aberrations, as well as by epigenetic inactivation of tumor suppressor gene promoters. Deficiency in one or more HR genes increases the risk of many malignancies. Another conserved mechanism involved in the repair of DNA single-strand breaks (SSBs) is base excision repair, in which poly (ADP-ribose) polymerase (PARP) enzymes play an important role. PARP inhibitors (PARPIs) convert SSBs to more cytotoxic double-strand breaks, which are repaired in HR-proficient cells, but remain unrepaired in HRD. The blockade of both HR and base excision repair pathways is the basis of PARPI therapy. The use of PARPIs can be expanded to sporadic cancers displaying the “BRCAness” phenotype. Although PARPIs are effective in many cancers, their efficacy is limited by the development of resistance. In this review, we summarize the prevalence of HRD due to mutation, loss of heterozygosity, and promoter hypermethylation of 35 DNA repair genes in ovarian, breast, colorectal, pancreatic, non-small cell lung cancer, and prostate cancer. The underlying mechanisms and strategies to overcome PARPI resistance are also discussed.
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Affiliation(s)
- Negesse Mekonnen
- Department of Pharmacy, Research Institute of Pharmaceutical Science, Seoul National University College of Pharmacy, Seoul, South Korea
- Department of Veterinary Science, School of Animal Science and Veterinary Medicine, Bahir Dar University, Bahir Dar, Ethiopia
| | - Hobin Yang
- Department of Pharmacy, Research Institute of Pharmaceutical Science, Seoul National University College of Pharmacy, Seoul, South Korea
| | - Young Kee Shin
- Department of Pharmacy, Research Institute of Pharmaceutical Science, Seoul National University College of Pharmacy, Seoul, South Korea
- Bio-MAX/N-Bio, Seoul National University, Seoul, South Korea
- Department of Molecular Medicine and Biopharmaceutical Sciences, Seoul National University Graduate School of Convergence Science and Technology, Seoul, South Korea
- LOGONE Bio Convergence Research Foundation, Center for Companion Diagnostics, Seoul, South Korea
- *Correspondence: Young Kee Shin,
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221
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Dhakar R, Dakal TC, Sharma A. Genetic determinants of lung cancer: Understanding the oncogenic potential of somatic missense mutations. Genomics 2022; 114:110401. [PMID: 35709927 DOI: 10.1016/j.ygeno.2022.110401] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2020] [Revised: 01/31/2022] [Accepted: 06/08/2022] [Indexed: 11/04/2022]
Abstract
BACKGROUND Treatment of lung cancer is getting more personalized nowadays and medical practitioners are moving away from conventional histology-driven empirical treatments, platinum-based chemotherapy, and other invasive surgical resections and have started adopting alternate therapies in which therapeutic targets are patient's molecular oncogenic drivers. AIM The aim of the current study is to extract meaningful information from the online somatic mutation data (retrieved from cBioPortal) of 16 most significantly mutated oncogenes in non-small-cell lung cancer (NSCLC), namely EGFR, NRAS, KRAS, HER2 (ERBB2), RET, MET, ROS1, FGFR1, BRAF, AKT1, MEK1 (MAP2K1), PIK3CA, PTEN, DDR2, LKB1 (STK11) and ALK, for improving our understanding of the pathobiology of the lung cancer that can aid decision-making on critical clinical and therapeutic considerations. METHODS Using an integrated approach comprising 4 steps, the oncogenic potential of 661 missense non-synonymous single nucleotide polymorphisms (nsSNPs) in 16 genes was ascertained using 2059 NSCLC (1575 lung adenocarcinomas, 484 lung squamous cell carcinomas) patients' online mutation data. The steps used comprise sequence/structure homology-based prediction, scoring of conservation of mutated residues and positions, prediction of resulting molecular and functional consequences using machine-learning and structure-guided approach. RESULTS Out of a total of 661 nsSNPs analyzed, a set of 29 nsSNPs has been identified as conserved high confidence mutations in 10 of 16 genes relevant to the under study. Out of 29 conserved high confidence nsSNPs, 4 nsSNPs (EGFR N1094Y, BRAF M620I, DDR2 R307L, ALK P1350T) have been found to be putative novel rare genetic markers for NSCLC. CONCLUSIONS The current study, the first of its kind, has provided a list of deleterious non-synonymous somatic mutations in a selected pool of oncogenes that can be considered as a promising target for future drug design and therapy for patients with lung adenocarcinomas and squamous cell carcinomas.
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Affiliation(s)
- Ramgopal Dhakar
- Genome and Computational Biology Lab, Department of Biotechnology, Mohanlal Sukhadia, University, Udaipur 313001, Rajasthan, India
| | - Tikam Chand Dakal
- Genome and Computational Biology Lab, Department of Biotechnology, Mohanlal Sukhadia, University, Udaipur 313001, Rajasthan, India.
| | - Amit Sharma
- Department of Neurosurgery, University Clinic Bonn, 53127 Bonn, Germany
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Zhang L, Liang B, Xu H, Gong Y, Hu W, Jin Z, Wu X, Chen X, Li M, Shi L, Shi Y, Wang Y, Yang L. Cinobufagin induces FOXO1-regulated apoptosis, proliferation, migration, and invasion by inhibiting G9a in non-small-cell lung cancer A549 cells. JOURNAL OF ETHNOPHARMACOLOGY 2022; 291:115095. [PMID: 35176466 DOI: 10.1016/j.jep.2022.115095] [Citation(s) in RCA: 21] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/03/2021] [Revised: 01/23/2022] [Accepted: 02/06/2022] [Indexed: 06/14/2023]
Abstract
ETHNOPHARMACOLOGICAL RELEVANCE Bufonis (VB), an animal drug called Chansu in China, is the product of the secretion of Bufo gargarizans Cantor or B. melanostictus Schneider. As a traditional Chinese medicine (TCM) for a long time, it has been widely used in the treatment of heart failure, ulcer, pain, and various cancers. Cinobufaginn (CNB), the cardiotonic steroid or bufalene lactone extracted from VB, has the effects of detoxification, detumescence, and analgesia. AIM OF THE STUDY The present study aimed to define the effects of CNB on non-small-cell lung cancer (NSCLC) and identify the potential molecular mechanisms. MATERIALS AND METHODS A549 cells were treated with cinobufagin and cell viability, apoptosis, migration, and invasion were then evaluated using Cell Counting Kit-8 (CCK8) assays, flow cytometry, and Transwell assays, respectively. Moreover, the levels of proliferating cell nuclear antigen (PCNA), cytokeratin8 (CK8), poly ADP-ribose polymerase (PARP), Caspase3, Caspase8, B-cell lymphoma/lewkmia-2(Bcl-2), Bcl2-Associated X(Bax), forkhead box O1 (FOXO1), and euchromatic histone-lysine N-methyltransferase2 (G9a, EHMT2) in A549 cells were evaluated using qRT-PCR and/or Western blot analysis (WB), Co-IP, immunofluorescence, and immunohistochemistry. An in vivo imaging system, TUNEL, Immunofluorescence, and immunohistochemistry were also used to detect proliferating cell nuclear antigen(PCNA), Ki67, E-Cadherin(E-Cad), FOXO1, and G9a in mouse xenograft model experiments. RESULTS CNB suppressed cell proliferation, migration, and invasion but promoted apoptosis in A549 cells in a dose- and time-dependent manner, while cinobufagin had no cytotoxic effect on BEAS-2B cells. In vivo, cinobufagin inhibited the proliferation, migration, and invasion of A549 cells and promoted their apoptosis. The occurrence of the above phenomena was accompanied by an increase in FOXO1 expression and a decrease in G9a expression. In A549 cells, CNB did not reverse the changes in the proliferation, migration, invasion, and apoptosis of A549 cells after FOXO1 was successfully silenced. CONCLUSION Our study provides the first evidence that cinobufagin suppresses the malignant biological behaviours of NSCLC cells in vivo and in vitro and suggests that mechanistically, this effect may be achieved by inhibiting the expression of the histone methyltransferase G9a and activating the tumour suppressor gene FOXO1. Taken together, our findings provide important insights into the molecular mechanism underlying cinobufagin's anticancer activity, and suggest that cinobufagin could be a candidate for targeted cancer therapy.
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Affiliation(s)
- Lingling Zhang
- Basic Medicine College, Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Bing Liang
- Basic Medicine College, Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Huan Xu
- Basic Medicine College, Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Yanju Gong
- Basic Medicine College, Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Wangming Hu
- Basic Medicine College, Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Zhong Jin
- Basic Medicine College, Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Xiao Wu
- Basic Medicine College, Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Xiongbin Chen
- Basic Medicine College, Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Min Li
- Basic Medicine College, Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Liangqin Shi
- Basic Medicine College, Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Yaping Shi
- Basic Medicine College, Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Yong Wang
- Basic Medicine College, Chengdu University of Traditional Chinese Medicine, Chengdu, China.
| | - Lan Yang
- Basic Medicine College, Chengdu University of Traditional Chinese Medicine, Chengdu, China.
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Thaiparambil J, Dong J, Grimm SL, Perera D, Ambati CSR, Putluri V, Robertson MJ, Patel TD, Mistretta B, Gunaratne PH, Kim MP, Yustein JT, Putluri N, Coarfa C, El‐Zein R. Integrative metabolomics and transcriptomics analysis reveals novel therapeutic vulnerabilities in lung cancer. Cancer Med 2022; 12:584-596. [PMID: 35676822 PMCID: PMC9844651 DOI: 10.1002/cam4.4933] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2021] [Revised: 04/22/2022] [Accepted: 05/04/2022] [Indexed: 01/27/2023] Open
Abstract
BACKGROUND Non-small cell lung cancer (NSCLC) comprises the majority (~85%) of all lung tumors, with lung adenocarcinoma (LUAD) and squamous cell carcinoma (LUSC) being the most frequently diagnosed histological subtypes. Multi-modal omics profiling has been carried out in NSCLC, but no studies have yet reported a unique metabolite-related gene signature and altered metabolic pathways associated with LUAD and LUSC. METHODS We integrated transcriptomics and metabolomics to analyze 30 human lung tumors and adjacent noncancerous tissues. Differential co-expression was used to identify modules of metabolites that were altered between normal and tumor. RESULTS We identified unique metabolite-related gene signatures specific for LUAD and LUSC and key pathways aberrantly regulated at both transcriptional and metabolic levels. Differential co-expression analysis revealed that loss of coherence between metabolites in tumors is a major characteristic in both LUAD and LUSC. We identified one metabolic onco-module gained in LUAD, characterized by nine metabolites and 57 metabolic genes. Multi-omics integrative analysis revealed a 28 metabolic gene signature associated with poor survival in LUAD, with six metabolite-related genes as individual prognostic markers. CONCLUSIONS We demonstrated the clinical utility of this integrated metabolic gene signature in LUAD by using it to guide repurposing of AZD-6482, a PI3Kβ inhibitor which significantly inhibited three genes from the 28-gene signature. Overall, we have integrated metabolomics and transcriptomics analyses to show that LUAD and LUSC have distinct profiles, inferred gene signatures with prognostic value for patient survival, and identified therapeutic targets and repurposed drugs for potential use in NSCLC treatment.
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Affiliation(s)
| | - Jianrong Dong
- Center for Precision and Environmental HealthBaylor College of MedicineHoustonTexasUSA,Molecular and Cellular Biology DepartmentBaylor College of MedicineHoustonTexasUSA
| | - Sandra L. Grimm
- Center for Precision and Environmental HealthBaylor College of MedicineHoustonTexasUSA,Dan L Duncan Comprehensive Cancer CenterBaylor College of MedicineHoustonTexasUSA,Advanced Technology CoresBaylor College of MedicineHoustonTexasUSA
| | - Dimuthu Perera
- Advanced Technology CoresBaylor College of MedicineHoustonTexasUSA
| | | | - Vasanta Putluri
- Advanced Technology CoresBaylor College of MedicineHoustonTexasUSA
| | - Matthew J. Robertson
- Dan L Duncan Comprehensive Cancer CenterBaylor College of MedicineHoustonTexasUSA,Advanced Technology CoresBaylor College of MedicineHoustonTexasUSA
| | - Tajhal D. Patel
- Texas Children’s Cancer and Hematology Centers and The Faris D. Virani Ewing Sarcoma CenterBaylor College of MedicineHoustonTexasUSA
| | - Brandon Mistretta
- Department of Biology and BiochemistryUniversity of HoustonHoustonTexasUSA
| | - Preethi H. Gunaratne
- Molecular and Cellular Biology DepartmentBaylor College of MedicineHoustonTexasUSA,Department of Biology and BiochemistryUniversity of HoustonHoustonTexasUSA
| | - Min P. Kim
- Houston Methodist Cancer CenterHoustonTexasUSA,Division of Thoracic Surgery, Department of SurgeryHouston Methodist HospitalHoustonTexasUSA
| | - Jason T. Yustein
- Molecular and Cellular Biology DepartmentBaylor College of MedicineHoustonTexasUSA,Dan L Duncan Comprehensive Cancer CenterBaylor College of MedicineHoustonTexasUSA,Texas Children’s Cancer and Hematology Centers and The Faris D. Virani Ewing Sarcoma CenterBaylor College of MedicineHoustonTexasUSA,Integrative Molecular and Biological Sciences ProgramBaylor College of MedicineHoustonTexasUSA
| | - Nagireddy Putluri
- Molecular and Cellular Biology DepartmentBaylor College of MedicineHoustonTexasUSA,Advanced Technology CoresBaylor College of MedicineHoustonTexasUSA
| | - Cristian Coarfa
- Center for Precision and Environmental HealthBaylor College of MedicineHoustonTexasUSA,Molecular and Cellular Biology DepartmentBaylor College of MedicineHoustonTexasUSA,Dan L Duncan Comprehensive Cancer CenterBaylor College of MedicineHoustonTexasUSA,Advanced Technology CoresBaylor College of MedicineHoustonTexasUSA
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Kumar S U, Balasundaram A, Cathryn R H, Varghese RP, R S, R G, Younes S, Zayed H, Doss C GP. Whole-exome sequencing analysis of NSCLC reveals the pathogenic missense variants from cancer-associated genes. Comput Biol Med 2022; 148:105701. [PMID: 35753820 DOI: 10.1016/j.compbiomed.2022.105701] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2022] [Revised: 05/17/2022] [Accepted: 06/04/2022] [Indexed: 11/16/2022]
Abstract
BACKGROUND Non-small-cell lung cancer (NSCLC) is the most common type of lung cancer. NSCLC accounts for 84% of all lung cancer cases. In recent years, advances in pathway understanding, methods for discovering novel genetic biomarkers, and new drugs designed to inhibit the signaling cascades have enabled clinicians to personalize therapy for NSCLC. OBJECTIVES The primary aim of this study is to identify the genes associated with NSCLC that harbor pathogenic variants that could be causative for NSCLC. The second aim is to investigate their roles in different pathways that lead to NSCLC. METHODS We examined exome-sequencing datasets from 54 NSCLC patients to characterize the variants associated with NSCLC. RESULTS Our findings revealed that 17 variants in 14 genes were considered highly pathogenic, including CDKN2A, ERBB2, FOXP1, IDH1, JAK3, KMT2D, K-Ras, MSH3, MSH6, POLE, RNF43, TCF7L2, TP53, and TSC1. Gene set enrichment analysis revealed the involvement of transmembrane receptor protein tyrosine kinase activity, protein binding, ATP binding, phosphatidylinositol-4,5-bisphosphate 3-kinase, and Ras guanyl-nucleotide exchange factor activity. Pathway analysis of these genes yielded different cancer-related pathways, including colorectal, prostate, endometrial, pancreatic, PI3K-Akt signaling pathways, and signaling pathways regulating pluripotency of stem cells. Module 1 from protein-protein interactions (PPIs) identified genes that harbor pathogenic SNPs. Three of the most deleterious SNPs are ERBB2 (rs1196929947), K-Ras (rs121913529), and POLE (rs751425952). Interestingly, one patient has a pathogenic K-Ras variant (rs121913529) co-occurred with the missense variant (rs752054698) inTSC1 gene. CONCLUSION This study maps highly pathogenic variants associated with NSCLC and investigates their contributions to the pathogenesis of NSCLC. This study sheds light on the potential applications of precision medicine in patients with NSCLC.
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Affiliation(s)
- Udhaya Kumar S
- Laboratory of Integrative Genomics, Department of Integrative Biology, School of Biosciences and Technology, Vellore Institute of Technology, Vellore, Tamil Nadu, 632014, India
| | - Ambritha Balasundaram
- Laboratory of Integrative Genomics, Department of Integrative Biology, School of Biosciences and Technology, Vellore Institute of Technology, Vellore, Tamil Nadu, 632014, India
| | - Hephzibah Cathryn R
- Laboratory of Integrative Genomics, Department of Integrative Biology, School of Biosciences and Technology, Vellore Institute of Technology, Vellore, Tamil Nadu, 632014, India
| | - Rinku Polachirakkal Varghese
- Laboratory of Integrative Genomics, Department of Integrative Biology, School of Biosciences and Technology, Vellore Institute of Technology, Vellore, Tamil Nadu, 632014, India
| | - Siva R
- Laboratory of Integrative Genomics, Department of Integrative Biology, School of Biosciences and Technology, Vellore Institute of Technology, Vellore, Tamil Nadu, 632014, India
| | - Gnanasambandan R
- Laboratory of Integrative Genomics, Department of Integrative Biology, School of Biosciences and Technology, Vellore Institute of Technology, Vellore, Tamil Nadu, 632014, India
| | - Salma Younes
- Department of Biomedical Sciences, College of Health and Sciences, Qatar University, QU Health, Doha, 2713, Qatar
| | - Hatem Zayed
- Department of Biomedical Sciences, College of Health and Sciences, Qatar University, QU Health, Doha, 2713, Qatar
| | - George Priya Doss C
- Laboratory of Integrative Genomics, Department of Integrative Biology, School of Biosciences and Technology, Vellore Institute of Technology, Vellore, Tamil Nadu, 632014, India.
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225
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Vokes NI, Chambers E, Nguyen T, Coolidge A, Lydon CA, Le X, Sholl L, Heymach JV, Nishino M, Van Allen EM, Jänne PA. Concurrent TP53 Mutations Facilitate Resistance Evolution in EGFR-Mutant Lung Adenocarcinoma. J Thorac Oncol 2022; 17:779-792. [PMID: 35331964 PMCID: PMC10478031 DOI: 10.1016/j.jtho.2022.02.011] [Citation(s) in RCA: 50] [Impact Index Per Article: 25.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2021] [Revised: 02/08/2022] [Accepted: 02/15/2022] [Indexed: 11/26/2022]
Abstract
INTRODUCTION Patients with EGFR-mutant NSCLC experience variable duration of benefit on EGFR tyrosine kinase inhibitors. The effect of concurrent genomic alterations on outcome has been incompletely described. METHODS In this retrospective study, targeted next-generation sequencing data were collected from patients with EGFR-mutant lung cancer treated at the Dana-Farber Cancer Institute. Clinical data were collected and correlated with somatic mutation data. Associations between TP53 mutation status, genomic features, and mutational processes were analyzed. RESULTS A total of 269 patients were identified for inclusion in the cohort. Among 185 response-assessable patients with pretreatment specimens, TP53 alterations were the most common event associated with decreased first-line progression-free survival and decreased overall survival, along with DNMT3A, KEAP1, and ASXL1 alterations. Reduced progression-free survival on later-line osimertinib in 33 patients was associated with MET, APC, and ERBB4 alterations. Further investigation of the effect of TP53 alterations revealed an association with worse outcomes even in patients with good initial radiographic response, and faster acquisition of T790M and other resistance mechanisms. TP53-mutated tumors had higher mutational burdens and increased mutagenesis with exposure to therapy and tobacco. Cell cycle alterations were not independently predictive, but portended worse OS in conjunction with TP53 alterations. CONCLUSIONS TP53 alterations associate with faster resistance evolution independent of mechanism in EGFR-mutant NSCLC and may cooperate with other genomic events to mediate acquisition of resistance mutations to EGFR tyrosine kinase inhibitors.
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Affiliation(s)
- Natalie I Vokes
- Department of Thoracic and Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas; Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Emily Chambers
- Lowe Center for Thoracic Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Tom Nguyen
- Lowe Center for Thoracic Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Alexis Coolidge
- Department of Internal Medicine, Massachusetts General Hospital, Boston, Massachusetts
| | - Christine A Lydon
- Lowe Center for Thoracic Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Xiuning Le
- Department of Thoracic and Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Lynette Sholl
- Department of Pathology, Brigham and Women's Hospital, Boston, Massachusetts
| | - John V Heymach
- Department of Thoracic and Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Mizuki Nishino
- Department of Radiology, Brigham and Women's Hospital, Boston, Massachusetts; Department of Imaging, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Eliezer M Van Allen
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts; Broad Institute of Harvard and Massachusetts Institute of Technology, Boston, Massachusetts
| | - Pasi A Jänne
- Lowe Center for Thoracic Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts.
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226
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Santos ES, Rodriguez E. Treatment Considerations for Patients with Advanced Squamous Cell Carcinoma of the Lung. Clin Lung Cancer 2022; 23:457-466. [DOI: 10.1016/j.cllc.2022.06.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2022] [Revised: 06/10/2022] [Accepted: 06/12/2022] [Indexed: 11/27/2022]
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227
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Peng J, Xiao L, Zou D, Han L. A Somatic Mutation Signature Predicts the Best Overall Response to Anti-programmed Cell Death Protein-1 Treatment in Epidermal Growth Factor Receptor/Anaplastic Lymphoma Kinase-Negative Non-squamous Non-small Cell Lung Cancer. Front Med (Lausanne) 2022; 9:808378. [PMID: 35592856 PMCID: PMC9112854 DOI: 10.3389/fmed.2022.808378] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2021] [Accepted: 03/25/2022] [Indexed: 12/02/2022] Open
Abstract
Background We aimed to exploit a somatic mutation signature (SMS) to predict the best overall response to anti-programmed cell death protein-1 (PD-1) therapy in non-small cell lung cancer (NSCLC). Methods Tumor samples of 248 patients with epidermal growth factor receptor (EGFR)/anaplastic lymphoma kinase (ALK)-negative non-squamous NSCLC treated with anti-PD-1 were molecularly tested by targeted next-generation sequencing or whole exome sequencing. On the basis of machine learning, we developed and validated a predictive model named SMS using the training (n = 83) and validation (n = 165) cohorts. Results The SMS model comprising a panel of 15 genes (TP53, PTPRD, SMARCA4, FAT1, MGA, NOTCH1, NTRK3, INPP4B, KMT2A, PAK1, ATRX, BCOR, KDM5C, DDR2, and ARID1B) was built to predict best overall response in the training cohort. The areas under the curves of the training and validation cohorts were higher than those of tumor mutational burden and PD-L1 expression. Patients with SMS-high in the training and validation cohorts had poorer progression-free survival [hazard ratio (HR) = 6.01, P < 0.001; HR = 3.89, P < 0.001] and overall survival (HR = 7.60, P < 0.001; HR = 2.82, P < 0.001) than patients with SMS-low. SMS was an independent factor in multivariate analyses of progression-free survival and overall survival (HR = 4.32, P < 0.001; HR = 3.07, P < 0.001, respectively). Conclusion This study revealed the predictive value of SMS for immunotherapy best overall response and prognosis in EGFR/ALK-negative non-squamous NSCLC as a potential biomarker in anti-PD-1 therapy.
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Affiliation(s)
- Jie Peng
- Department of Medical Oncology, The Second Affiliated Hospital, Guizhou Medical University, Kaili City, China
| | - Lushan Xiao
- Hepatology Unit, Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Dan Zou
- Department of Medical Oncology, The Second Affiliated Hospital, Guizhou Medical University, Kaili City, China
| | - Lijie Han
- Department of Hematology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
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228
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Jiang X, Qin N, Hua T, Wei X, Li Y, Chen C, Gong L, Liu S, Wang C, Yin R, Jiang Y, Dai J, Xu L, Shen H, Ma H. Functional characterization and clinical significance of super-enhancers in lung adenocarcinoma. Mol Carcinog 2022; 61:776-786. [PMID: 35596703 DOI: 10.1002/mc.23419] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2022] [Revised: 04/10/2022] [Accepted: 05/03/2022] [Indexed: 11/06/2022]
Abstract
Super-enhancers (SEs) are important transcriptional regulators in tumorigenesis; however, the functional characterization and clinical significance of SEs in lung adenocarcinoma (LUAD) remain unclear. By using H3K27ac ChIP-seq data of two LUAD cell lines and eight lung tissues, we detected 1045 cancer-specific and 5032 normal-specific SEs. Compared to normal-specific SEs, cancer-specific SEs have different regulatory mechanisms where associated target genes were enriched in critical tumor-related pathways and tended to be regulated by transcription factors of Fos Proto-Oncogene, AP-1 Transcription Factor Subunit and Jun Proto-Oncogene, AP-1 Transcription Factor Subunit families. By using expression data of 513 LUAD and 57 adjacent samples from The Cancer Genome Atlas and 80 tumor-normal paired LUAD samples from the Nanjing Lung Cancer Cohort study, we performed differential expression analysis of target genes for SEs and defined 243 crucial SEs. Unsupervised clustering of crucial SEs revealed two subtypes with different levels of genomic aberrations (i.e., mutation and copy number alteration) and clinical outcomes (progression-free interval: p = 0.030; disease-free interval: p = 0.047). In addition, patients with adverse clinical outcomes were more sensitive to three small molecule inhibitors (bortezomib, doxorubicin, and etoposide), and their targets (PSMB5 and TOP2A) also have elevated expression levels among these patients. Taken together, our findings provided a comprehensive characterization of SEs in LUAD and emphasized their clinical significance in LUAD therapy.
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Affiliation(s)
- Xiangxiang Jiang
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Na Qin
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China.,Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing Medical University, Nanjing, China
| | - Tingting Hua
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Xiaoxia Wei
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Yuancheng Li
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Congcong Chen
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Linnan Gong
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Su Liu
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Cheng Wang
- Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing Medical University, Nanjing, China.,Department of Bioinformatics, School of Biomedical Engineering and Informatics, Nanjing Medical University, Nanjing, China
| | - Rong Yin
- Jiangsu Key Laboratory of Molecular and Translational Cancer Research, Department of Thoracic Surgery, Jiangsu Cancer Hospital, Jiangsu Institute of Cancer Research, The Affiliated Cancer Hospital of Nanjing Medical University, Nanjing, China
| | - Yue Jiang
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China.,Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing Medical University, Nanjing, China
| | - Juncheng Dai
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China.,Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing Medical University, Nanjing, China
| | - Lin Xu
- Jiangsu Key Laboratory of Molecular and Translational Cancer Research, Department of Thoracic Surgery, Jiangsu Cancer Hospital, Jiangsu Institute of Cancer Research, The Affiliated Cancer Hospital of Nanjing Medical University, Nanjing, China
| | - Hongbing Shen
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China.,Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing Medical University, Nanjing, China.,Research Units of Cohort Study on Cardiovascular Diseases and Cancers, Chinese Academy of Medical Sciences, Beijing, China
| | - Hongxia Ma
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China.,Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing Medical University, Nanjing, China.,Research Units of Cohort Study on Cardiovascular Diseases and Cancers, Chinese Academy of Medical Sciences, Beijing, China
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229
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Morfouace M, Novello S, Stevovic A, Dooms C, Janžič U, Berghmans T, Dziadziuszko R, Gorlia T, Felip E, Paz-Ares L, Mazieres J, O'Brien M, Bironzo P, Vansteenkiste J, Lacroix L, Dingemans AC, Golfinopoulos V, Besse B. Results of screening in early and advanced thoracic malignancies in the EORTC pan-European SPECTAlung platform. Sci Rep 2022; 12:8342. [PMID: 35585228 PMCID: PMC9117328 DOI: 10.1038/s41598-022-12056-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2022] [Accepted: 04/18/2022] [Indexed: 11/16/2022] Open
Abstract
Access to a comprehensive molecular alteration screening is patchy in Europe and quality of the molecular analysis varies. SPECTAlung was created in 2015 as a pan-European screening platform for patients with thoracic malignancies. Here we report the results of almost 4 years of prospective molecular screening of patients with thoracic malignancies, in terms of quality of the program and molecular alterations identified. Patients with thoracic malignancies at any stage of disease were recruited in SPECTAlung, from June 2015 to May 2019, in 7 different countries. Molecular tumour boards were organised monthly to discuss patients' molecular and clinical profile and possible biomarker-driven treatments, including clinical trial options. FFPE material was collected and analysed for 576 patients with diagnosis of pleural, lung, or thymic malignancies. Ultimately, 539 patients were eligible (93.6%) and 528 patients were assessable (91.7%). The turn-around time for report generation and molecular tumour board was 214 days (median). Targetable molecular alterations were observed in almost 20% of cases, but treatment adaptation was low (3% of patients). SPECTAlung showed the feasibility of a pan-European screening platform. One fifth of the patients had a targetable molecular alteration. Some operational issues were discovered and adapted to improve efficiency.
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Affiliation(s)
- M Morfouace
- EORTC HQ, Avenue E. Mounier 83/11, 1200, Brussels, Belgium.
| | - S Novello
- Department of Oncology, University of Turin, AOU San Luigi, Orbassano (TO), Italy
| | - A Stevovic
- EORTC HQ, Avenue E. Mounier 83/11, 1200, Brussels, Belgium
| | - C Dooms
- Department of Respiratory Diseases and Respiratory Oncology Unit, University Hospitals KU Leuven, Leuven, Belgium
| | - U Janžič
- Department of Medical Oncology, University Clinic of Pulmonary and Allergic Diseases Golnik, Golnik 36, Golnik, Slovenia
| | - T Berghmans
- Thoracic Oncology Clinic, Institut Jules Bordet, Université Libre de Bruxelles, Brussels, Belgium
| | - R Dziadziuszko
- Department of Oncology and Radiotherapy, and Early Clinical Trials Unit, Medical University of Gdansk, Gdansk, Poland
| | - T Gorlia
- EORTC HQ, Avenue E. Mounier 83/11, 1200, Brussels, Belgium
| | - E Felip
- Oncology Department, Vall d'Hebron University Hospital and Vall d'Hebron Institute of Oncology (VHIO), Barcelona, Spain
| | - L Paz-Ares
- Hospital Universitario 12 De Octubre, Madrid, Spain
| | - J Mazieres
- Service de Pneumologie, CHU de Toulouse, Université Paul Sabatier, Toulouse, France
| | - M O'Brien
- Lung Unit, Royal Marsden Hospital, Imperial College, London, UK
| | - P Bironzo
- Department of Oncology, University of Turin, AOU San Luigi, Orbassano (TO), Italy
| | - J Vansteenkiste
- Department of Respiratory Diseases and Respiratory Oncology Unit, University Hospitals KU Leuven, Leuven, Belgium
| | - L Lacroix
- Department of Medical Biology and Pathology, BMO Unit From AMMICa UMS3655/US23, Gustave Roussy, Villejuif, France
| | - A C Dingemans
- Department of Respiratory Medicine, Erasmus MC Cancer Institute, University Medical Center, Rotterdam, The Netherlands
| | | | - B Besse
- Department of Medical Oncology, Gustave Roussy, Villejuif, France
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230
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Huang S, Jin M, Lan X, Wu JL, Zhang Z, Zhao J, Li Y. LncRNA AC098934 promotes proliferation and invasion in lung adenocarcinoma cells by combining METTL3 and m6A modifications. J Cancer 2022; 13:2662-2672. [PMID: 35711823 PMCID: PMC9174854 DOI: 10.7150/jca.69406] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2021] [Accepted: 05/01/2022] [Indexed: 11/10/2022] Open
Abstract
Background: Long non-coding RNA (lncRNA) regulates the tumorigenesis as well as the development of lung adenocarcinoma (LUAD), which is one of the high-mortality cancers. We explored the influence of lncRNA AC098934 on the malignant biological behavior of LUAD and potential underlying molecular mechanisms. Methods: The expression level of AC098934 in either the LUAD or the normal tissues was identified in the TCGA database. Two AC098934 knockdown siRNAs were infected into cells of LUAD, including A549 as well as H1299 cells, using the lentivirus. Real-time Quantitative polymerase chain reaction (QPCR) helped to determine the knockdown efficiency of AC098934. CCK-8, cell cloning, wound healing combined with transwell assays tested the role of AC098934 in the cell proliferation, migration as well as the invasion. Tumor formation experiment in nude mice subcutaneously confirmed the promoting effect of AC098934 in vivo. In addition, combinations of METTL3 and AC098934, as well as m6A and AC098934 were identified through the RIP assay. Results: Compared to the normal tissues, AC098934 was more highly expressed in LUAD tissues. After AC098934 was knocked down by siRNA, the proliferation, invasion, migration as well as tumorigenesis abilities of both A549 and H1299 cells were reduced. Mechanistically, AC098934 could bind to the m6A antibody and METTL3 protein. METTL3 overexpression promoted the m6A modification on AC098934, thereby increasing the interaction of m6A modification. Conclusion: The highly expressed lncRNA AC098934 in LUAD facilitates the cell proliferation as well as invasion either in vitro or in vivo. METTL3 binds, furthermore, modulates the m6A modification of AC098934. Our research revealed a new molecular mechanism, through which AC098934 promoted the malignant behavior of LUAD tumors under the m6A modification induced by METTL3. This indicates that AC098934 is possible to be a promising biomarker as well as a therapeutic target for the patients with LUAD.
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Affiliation(s)
- Shiqing Huang
- Department of Oncology, the Affiliated Hospital of Youjiang Medical University for Nationalities, Baise, Guangxi Zhuang Autonomous Region 533000, P.R. China
| | - Mingyang Jin
- Department of Gynecology the Affiliated Hospital of Youjiang Medical University for Nationalities, Baise, Guangxi Zhuang Autonomous Region 533000, P.R. China
| | - Xiaoling Lan
- Department of Oncology, the Affiliated Hospital of Youjiang Medical University for Nationalities, Baise, Guangxi Zhuang Autonomous Region 533000, P.R. China
| | - Junyun Long Wu
- Graduate School of Youjiang Medical University for Nationalities, Baise, Guangxi Zhuang Autonomous Region 533000, P.R. China
| | - Zhiwen Zhang
- Graduate School of Youjiang Medical University for Nationalities, Baise, Guangxi Zhuang Autonomous Region 533000, P.R. China
| | - Jingjing Zhao
- Graduate School of Youjiang Medical University for Nationalities, Baise, Guangxi Zhuang Autonomous Region 533000, P.R. China
| | - Yepeng Li
- Department of Oncology, the Affiliated Hospital of Youjiang Medical University for Nationalities, Baise, Guangxi Zhuang Autonomous Region 533000, P.R. China
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Issahaku AR, Salifu EY, Soliman MES. Inside the cracked kernel: establishing the molecular basis of AMG510 and MRTX849 in destabilising KRASG12C mutant switch I and II in cancer treatment. J Biomol Struct Dyn 2022:1-13. [PMID: 35543250 DOI: 10.1080/07391102.2022.2074141] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
Abstract
The Kirsten rat sarcoma oncoprotein (KRAS) has been punctuated by drug development failures for decades due to frequent mutations that occur mostly at codon 12 and the seemingly intractable targeting of the protein. However, with advances in covalent targeting, the oncoprotein is being expunged from the 'undruggable' list of proteins. This feat has seen some covalent drugs at different stages of clinical trials. The advancement of AMG510 and MRTX849 as inhibitors of cysteine mutated KRAS (KRASG12C) to phase-III clinical trials informed the biased selection of AMG510 and MRTX849 for this study. Despite this advance, the molecular and atomistic modus operandi of these drugs is yet to come to light. In this study, we employed computational tools to unravel the atomistic interactions and subsequent conformational effects of AMG510 and MRTX849 on the mutant KRASG12C. It was revealed that AMG510 and MRTX849 complexes presented similar total free binding energies, (ΔGbind), of -88.15 ± 5.96 kcal/mol and -88.71 ± 7.70 kcal/mol, respectively. Gly10, Lys16, Thr58, Gly60, Glu62, Glu63, Arg68, Asp69, Met72, His95, Tyr96, Gln99, Arg102 and Val103 interacted prominently with AMG510 and MRTX849. These residues interacted with the pharmacophoric moieties of AMG510 and MRTX849 via hydrogen bonds with decreasing bond lengths at various stages of the simulation. These interactions together with pi-pi stacking, pi-sigma and pi-alkyl interactions induced unfolding of switch I whiles compacting switch II, which could interrupt the binding of effector proteins to these interfaces. These insights present useful atomistic perspectives into the success of AMG510 and MRTX849 which could guide the design of more selective and potent KRAS inhibitors.Communicated by Ramaswamy H. Sarma.
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Affiliation(s)
- Abdul Rashid Issahaku
- Molecular Bio-computation and Drug Design Laboratory, School of Health Sciences, University of KwaZulu-Natal, Durban, South Africa
| | - Elliasu Y Salifu
- Molecular Bio-computation and Drug Design Laboratory, School of Health Sciences, University of KwaZulu-Natal, Durban, South Africa
| | - Mahmoud E S Soliman
- Molecular Bio-computation and Drug Design Laboratory, School of Health Sciences, University of KwaZulu-Natal, Durban, South Africa
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Li Y, Zou Z, Gao Z, Wang Y, Xiao M, Xu C, Jiang G, Wang H, Jin L, Wang J, Wang HZ, Guo S, Wu J. Prediction of lung cancer risk in Chinese population with genetic-environment factor using extreme gradient boosting. Cancer Med 2022; 11:4469-4478. [PMID: 35499292 PMCID: PMC9741969 DOI: 10.1002/cam4.4800] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2020] [Revised: 04/22/2022] [Accepted: 04/24/2022] [Indexed: 02/03/2023] Open
Abstract
BACKGROUND Detecting early-stage lung cancer is critical to reduce the lung cancer mortality rate; however, existing models based on germline variants perform poorly, and new models are needed. This study aimed to use extreme gradient boosting to develop a predictive model for the early diagnosis of lung cancer in a multicenter case-control study. MATERIALS AND METHODS A total of 974 cases and 1005 controls in Shanghai and Taizhou were recruited, and 61 single nucleotide polymorphisms (SNPs) were genotyped. Multivariate logistic regression was used to calculate the association between signal SNPs and lung cancer risk. Logistic regression (LR) and extreme gradient boosting (XGBoost) algorithms, a large-scale machine learning algorithm, were adopted to build the lung cancer risk model. In both models, 10-fold cross-validation was performed, and model predictive performance was evaluated by the area under the curve (AUC). RESULTS After FDR adjustment, TYMS rs3819102 and BAG6 rs1077393 were significantly associated with lung cancer risk (p < 0.05). For lung cancer risk prediction, the model predicted only with epidemiology attained an AUC of 0.703 for LR and 0.744 for XGBoost. Compared with the LR model predicted only with epidemiology, further adding SNPs and applying XGBoost increased the AUC to 0.759 (p < 0.001) in the XGBoost model. BAG6 rs1077393 was the most important predictor among all SNPs in the lung cancer prediction XGBoost model, followed by TERT rs2735845 and CAMKK1 rs7214723. Further stratification in lung adenocarcinoma (ADC) showed a significantly elevated performance from 0.639 to 0.699 (p = 0.009) when applying XGBoost and adding SNPs to the model, while the best model for lung squamous cell carcinoma (SCC) prediction was the LR model predicted with epidemiology and SNPs (AUC = 0.833), compared with the XGBoost model (AUC = 0.816). CONCLUSION Our lung cancer risk prediction models in the Chinese population have a strong predictive ability, especially for SCC. Adding SNPs and applying the XGBoost algorithm to the epidemiologic-based logistic regression risk prediction model significantly improves model performance.
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Affiliation(s)
- Yutao Li
- School of Life SciencesFudan UniversityShanghaiChina
| | - Zixiu Zou
- School of Life SciencesFudan UniversityShanghaiChina
| | - Zhunyi Gao
- Company 6 of Basic Medical SchoolNavy Military Medical UniversityShanghaiChina
| | - Yi Wang
- School of Life SciencesFudan UniversityShanghaiChina
| | - Man Xiao
- Department of Biochemistry and Molecular BiologyHainan Medical UniversityHaikouChina
| | - Chang Xu
- Clinical College of Xiangnan UniversityChenzhouChina
| | - Gengxi Jiang
- Department of Thoracic Surgerythe First Affiliated Hospital of Naval Medical University (Second Military Medical University)ShanghaiChina
| | - Haijian Wang
- School of Life SciencesFudan UniversityShanghaiChina
| | - Li Jin
- School of Life SciencesFudan UniversityShanghaiChina
| | - Jiucun Wang
- School of Life SciencesFudan UniversityShanghaiChina
| | - Huai Zhou Wang
- Department of Laboratory Diagnosisthe First Affiliated Hospital of Naval Medical University (Second Military Medical University)ShanghaiChina
| | - Shicheng Guo
- School of Life SciencesFudan UniversityShanghaiChina
| | - Junjie Wu
- School of Life SciencesFudan UniversityShanghaiChina,Department of Pulmonary and Critical Care Medicine, Zhongshan HospitalFudan UniversityShanghaiChina,Department of Pulmonary and Critical Care MedicineShanghai Geriatric Medical CenterShanghaiChina
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Nkosi D, Casler VL, Syposs CR, Oltvai ZN. Utility of Select Gene Mutation Detection in Tumors by the Idylla Rapid Multiplex PCR Platform in Comparison to Next-Generation Sequencing. Genes (Basel) 2022; 13:genes13050799. [PMID: 35627184 PMCID: PMC9141835 DOI: 10.3390/genes13050799] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2022] [Revised: 04/24/2022] [Accepted: 04/26/2022] [Indexed: 02/01/2023] Open
Abstract
Testing of tumors by next generation sequencing (NGS) is impacted by relatively long turnaround times and a need for highly trained personnel. Recently, Idylla oncology assays were introduced to test for BRAF, EGFR, KRAS, and NRAS common hotspot mutations that do not require specialized trained personnel. Moreover, the interpretation of results is fully automated, with rapid turnaround time. Though Idylla testing and NGS have been shown to have high concordance in identifying EGFR, BRAF, KRAS, and NRAS hotspot mutations, there is limited experience on optimal ways the Idylla system can be used in routine practice. We retrospectively evaluated all cases with EGFR, BRAF, KRAS, or NRAS mutations identified in clinical specimens sequenced on two different NGS panels at the University of Rochester Medical Center (URMC) molecular diagnostics laboratory between July 2020 and July 2021 and assessed if these mutations would be detected by the Idylla cartridges if used. We found that the Idylla system could accurately identify Tier 1 or 2 actionable genomic alterations in select associated disease pathologies if used. Yet, in a minority of cases, we would have been unable to detect NGS-identified pathogenic mutations due to their absence on the Idylla panels. We derived algorithmic practice guidelines for the use of the Idylla cartridges. Overall, Idylla molecular testing could be implemented either as a first-line standalone diagnostic tool in select indications or for orthogonal confirmation of uncertain results.
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234
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Kettle JG, Bagal SK, Bickerton S, Bodnarchuk MS, Boyd S, Breed J, Carbajo RJ, Cassar DJ, Chakraborty A, Cosulich S, Cumming I, Davies M, Davies NL, Eatherton A, Evans L, Feron L, Fillery S, Gleave ES, Goldberg FW, Hanson L, Harlfinger S, Howard M, Howells R, Jackson A, Kemmitt P, Lamont G, Lamont S, Lewis HJ, Liu L, Niedbala MJ, Phillips C, Polanski R, Raubo P, Robb G, Robinson DM, Ross S, Sanders MG, Tonge M, Whiteley R, Wilkinson S, Yang J, Zhang W. Discovery of AZD4625, a Covalent Allosteric Inhibitor of the Mutant GTPase KRAS G12C. J Med Chem 2022; 65:6940-6952. [PMID: 35471939 DOI: 10.1021/acs.jmedchem.2c00369] [Citation(s) in RCA: 28] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
KRAS is an archetypal high-value intractable oncology drug target. The glycine to cysteine mutation at codon 12 represents an Achilles heel that has now rendered this important GTPase druggable. Herein, we report our structure-based drug design approach that led to the identification of 21, AZD4625, a clinical development candidate for the treatment of KRASG12C positive tumors. Highlights include a quinazoline tethering strategy to lock out a bio-relevant binding conformation and an optimization strategy focused on the reduction of extrahepatic clearance mechanisms seen in preclinical species. Crystallographic analysis was also key in helping to rationalize unusual structure-activity relationship in terms of ring size and enantio-preference. AZD4625 is a highly potent and selective inhibitor of KRASG12C with an anticipated low clearance and high oral bioavailability profile in humans.
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Affiliation(s)
| | | | | | | | - Scott Boyd
- Oncology R&D, AstraZeneca, Cambridge CB4 0WG, U.K
| | - Jason Breed
- Discovery Sciences, R&D, AstraZeneca, Cambridge CB4 0WG, U.K
| | | | | | | | | | - Iain Cumming
- Oncology R&D, AstraZeneca, Cambridge CB4 0WG, U.K
| | | | | | | | - Laura Evans
- Oncology R&D, AstraZeneca, Cambridge CB4 0WG, U.K
| | - Lyman Feron
- Oncology R&D, AstraZeneca, Cambridge CB4 0WG, U.K
| | | | - Emma S Gleave
- Discovery Sciences, R&D, AstraZeneca, Cambridge CB4 0WG, U.K
| | | | | | | | | | | | - Anne Jackson
- Discovery Sciences, R&D, AstraZeneca, Cambridge CB4 0WG, U.K
| | - Paul Kemmitt
- Oncology R&D, AstraZeneca, Cambridge CB4 0WG, U.K
| | | | - Scott Lamont
- Oncology R&D, AstraZeneca, Cambridge CB4 0WG, U.K
| | | | - Libin Liu
- Pharmaron Beijing Co., Ltd., 6 Taihe Road BDA, Beijing 100176, P. R. China
| | | | | | - Radek Polanski
- Discovery Sciences, R&D, AstraZeneca, Cambridge CB4 0WG, U.K
| | - Piotr Raubo
- Oncology R&D, AstraZeneca, Cambridge CB4 0WG, U.K
| | - Graeme Robb
- Oncology R&D, AstraZeneca, Cambridge CB4 0WG, U.K
| | | | - Sarah Ross
- Oncology R&D, AstraZeneca, Cambridge CB4 0WG, U.K
| | | | - Michael Tonge
- Discovery Sciences, R&D, AstraZeneca, Cambridge CB4 0WG, U.K
| | | | | | - Junsheng Yang
- Pharmaron Beijing Co., Ltd., 6 Taihe Road BDA, Beijing 100176, P. R. China
| | - Wenman Zhang
- Pharmaron Beijing Co., Ltd., 6 Taihe Road BDA, Beijing 100176, P. R. China
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235
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Yousefi M, Boross G, Weiss C, Murray CW, Hebert JD, Cai H, Ashkin EL, Karmakar S, Andrejka L, Chen L, Wang M, Tsai MK, Lin WY, Li C, Yakhchalian P, Colón CI, Chew SK, Chu P, Swanton C, Kunder CA, Petrov DA, Winslow MM. Combinatorial Inactivation of Tumor Suppressors Efficiently Initiates Lung Adenocarcinoma with Therapeutic Vulnerabilities. Cancer Res 2022; 82:1589-1602. [PMID: 35425962 PMCID: PMC9022333 DOI: 10.1158/0008-5472.can-22-0059] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2022] [Revised: 02/07/2022] [Accepted: 02/09/2022] [Indexed: 11/16/2022]
Abstract
Lung cancer is the leading cause of cancer death worldwide, with lung adenocarcinoma being the most common subtype. Many oncogenes and tumor suppressor genes are altered in this cancer type, and the discovery of oncogene mutations has led to the development of targeted therapies that have improved clinical outcomes. However, a large fraction of lung adenocarcinomas lacks mutations in known oncogenes, and the genesis and treatment of these oncogene-negative tumors remain enigmatic. Here, we perform iterative in vivo functional screens using quantitative autochthonous mouse model systems to uncover the genetic and biochemical changes that enable efficient lung tumor initiation in the absence of oncogene alterations. Generation of hundreds of diverse combinations of tumor suppressor alterations demonstrates that inactivation of suppressors of the RAS and PI3K pathways drives the development of oncogene-negative lung adenocarcinoma. Human genomic data and histology identified RAS/MAPK and PI3K pathway activation as a common feature of an event in oncogene-negative human lung adenocarcinomas. These Onc-negativeRAS/PI3K tumors and related cell lines are vulnerable to pharmacologic inhibition of these signaling axes. These results transform our understanding of this prevalent yet understudied subtype of lung adenocarcinoma. SIGNIFICANCE To address the large fraction of lung adenocarcinomas lacking mutations in proto-oncogenes for which targeted therapies are unavailable, this work uncovers driver pathways of oncogene-negative lung adenocarcinomas and demonstrates their therapeutic vulnerabilities.
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Affiliation(s)
- Maryam Yousefi
- Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA
- These authors contributed equally
| | - Gábor Boross
- Department of Biology, Stanford University, Stanford, CA, USA
- These authors contributed equally
| | - Carly Weiss
- Department of Biology, Stanford University, Stanford, CA, USA
| | | | - Jess D. Hebert
- Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA
| | - Hongchen Cai
- Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA
| | - Emily L. Ashkin
- Cancer Biology Program, Stanford University School of Medicine, Stanford, CA, USA
| | - Saswati Karmakar
- Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA
| | - Laura Andrejka
- Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA
| | - Leo Chen
- Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA
| | - Minwei Wang
- Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA
| | - Min K. Tsai
- Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA
| | - Wen-Yang Lin
- Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA
| | - Chuan Li
- Department of Biology, Stanford University, Stanford, CA, USA
| | - Pegah Yakhchalian
- Department of Medicine, David Geffen School of Medicine at University of California, Los Angeles, Los Angeles, CA, USA
| | - Caterina I. Colón
- Cancer Biology Program, Stanford University School of Medicine, Stanford, CA, USA
| | - Su-Kit Chew
- Cancer Evolution and Genome Instability Laboratory, University College London Cancer Institute, London, UK
- Cancer Evolution and Genome Instability Laboratory, The Francis Crick Institute, London, UK
| | - Pauline Chu
- Department of Pathology, Stanford University School of Medicine, Stanford, CA, USA
| | - Charles Swanton
- Cancer Evolution and Genome Instability Laboratory, University College London Cancer Institute, London, UK
- Cancer Evolution and Genome Instability Laboratory, The Francis Crick Institute, London, UK
| | - Christian A. Kunder
- Department of Pathology, Stanford University School of Medicine, Stanford, CA, USA
| | - Dmitri A. Petrov
- Cancer Biology Program, Stanford University School of Medicine, Stanford, CA, USA
- Department of Biology, Stanford University, Stanford, CA, USA
| | - Monte M. Winslow
- Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA
- Cancer Biology Program, Stanford University School of Medicine, Stanford, CA, USA
- Department of Pathology, Stanford University School of Medicine, Stanford, CA, USA
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Alexandrova E, Salvati A, Pecoraro G, Lamberti J, Melone V, Sellitto A, Rizzo F, Giurato G, Tarallo R, Nassa G, Weisz A. Histone Methyltransferase DOT1L as a Promising Epigenetic Target for Treatment of Solid Tumors. Front Genet 2022; 13:864612. [PMID: 35495127 PMCID: PMC9043692 DOI: 10.3389/fgene.2022.864612] [Citation(s) in RCA: 20] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2022] [Accepted: 03/16/2022] [Indexed: 12/24/2022] Open
Abstract
The histone lysine methyltransferase DOT1L (DOT1-like histone lysine methyltransferase) is responsible for the epigenetic regulation of gene expression through specific methylation of lysine79 residue of histone H3 (H3K79) in actively transcribed genes. Its normal activity is crucial for embryonic development and adult tissues functions, whereas its aberrant functioning is known to contribute to leukemogenesis. DOT1L is the only lysine methyltransferase that does not contain a SET domain, which is a feature that allowed the development of selective DOT1L inhibitors that are currently investigated in Phase I clinical trials for cancer treatment. Recently, abnormal expression of this enzyme has been associated with poor survival and increased aggressiveness of several solid tumors. In this review evidences of aberrant DOT1L expression and activity in breast, ovarian, prostate, colon, and other solid tumors, and its relationships with biological and clinical behavior of the disease and response to therapies, are summarized. Current knowledge of the structural basis of DOT1L ability to regulate cell proliferation, invasion, plasticity and stemness, cell cycle progression, cell-to-cell signaling, epithelial-to-mesenchymal transition, and chemoresistance, through cooperation with several molecular partners including noncoding RNAs, is also reviewed. Finally, available options for the treatment of therapeutically challenging solid tumors by targeting DOT1L are discussed.
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Affiliation(s)
- Elena Alexandrova
- Laboratory of Molecular Medicine and Genomics, Department of Medicine, Surgery and Dentistry “Scuola Medica Salernitana”, University of Salerno, Baronissi, Italy
| | - Annamaria Salvati
- Laboratory of Molecular Medicine and Genomics, Department of Medicine, Surgery and Dentistry “Scuola Medica Salernitana”, University of Salerno, Baronissi, Italy
- Medical Genomics Program and Division of Oncology, AOU “S. Giovanni di Dio e Ruggi d’Aragona”, University of Salerno, Salerno, Italy
| | - Giovanni Pecoraro
- Laboratory of Molecular Medicine and Genomics, Department of Medicine, Surgery and Dentistry “Scuola Medica Salernitana”, University of Salerno, Baronissi, Italy
| | - Jessica Lamberti
- Laboratory of Molecular Medicine and Genomics, Department of Medicine, Surgery and Dentistry “Scuola Medica Salernitana”, University of Salerno, Baronissi, Italy
| | - Viola Melone
- Laboratory of Molecular Medicine and Genomics, Department of Medicine, Surgery and Dentistry “Scuola Medica Salernitana”, University of Salerno, Baronissi, Italy
| | - Assunta Sellitto
- Laboratory of Molecular Medicine and Genomics, Department of Medicine, Surgery and Dentistry “Scuola Medica Salernitana”, University of Salerno, Baronissi, Italy
| | - Francesca Rizzo
- Laboratory of Molecular Medicine and Genomics, Department of Medicine, Surgery and Dentistry “Scuola Medica Salernitana”, University of Salerno, Baronissi, Italy
- Genome Research Center for Health—CRGS, Campus of Medicine of the University of Salerno, Baronissi, Italy
| | - Giorgio Giurato
- Laboratory of Molecular Medicine and Genomics, Department of Medicine, Surgery and Dentistry “Scuola Medica Salernitana”, University of Salerno, Baronissi, Italy
- Genome Research Center for Health—CRGS, Campus of Medicine of the University of Salerno, Baronissi, Italy
| | - Roberta Tarallo
- Laboratory of Molecular Medicine and Genomics, Department of Medicine, Surgery and Dentistry “Scuola Medica Salernitana”, University of Salerno, Baronissi, Italy
- Genome Research Center for Health—CRGS, Campus of Medicine of the University of Salerno, Baronissi, Italy
| | - Giovanni Nassa
- Laboratory of Molecular Medicine and Genomics, Department of Medicine, Surgery and Dentistry “Scuola Medica Salernitana”, University of Salerno, Baronissi, Italy
- Genome Research Center for Health—CRGS, Campus of Medicine of the University of Salerno, Baronissi, Italy
- *Correspondence: Giovanni Nassa, ; Alessandro Weisz,
| | - Alessandro Weisz
- Laboratory of Molecular Medicine and Genomics, Department of Medicine, Surgery and Dentistry “Scuola Medica Salernitana”, University of Salerno, Baronissi, Italy
- Medical Genomics Program and Division of Oncology, AOU “S. Giovanni di Dio e Ruggi d’Aragona”, University of Salerno, Salerno, Italy
- Genome Research Center for Health—CRGS, Campus of Medicine of the University of Salerno, Baronissi, Italy
- *Correspondence: Giovanni Nassa, ; Alessandro Weisz,
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Fowler JC, Jones PH. Somatic mutation: What shapes the mutational landscape of normal epithelia? Cancer Discov 2022; 12:1642-1655. [PMID: 35397477 DOI: 10.1158/2159-8290.cd-22-0145] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2022] [Revised: 03/11/2022] [Accepted: 04/01/2022] [Indexed: 11/16/2022]
Abstract
Epithelial stem cells accumulate mutations throughout life. Some of these mutants increase competitive fitness and may form clones that colonize the stem cell niche and persist to acquire further genome alterations. After a transient expansion, mutant stem cells must revert to homeostatic behavior so normal tissue architecture is maintained. Some positively selected mutants may promote cancer development while others inhibit carcinogenesis. Factors that shape the mutational landscape include wild type and mutant stem cell dynamics, competition for the niche, and environmental exposures. Understanding these processes may give new insight into the basis of cancer risk and opportunities for cancer prevention.
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238
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Zhang X, Xiao J, Fu X, Qin G, Yu M, Chen G, Li X. Construction of a Two-Gene Immunogenomic-Related Prognostic Signature in Lung Squamous Cell Carcinoma. Front Mol Biosci 2022; 9:867494. [PMID: 35463955 PMCID: PMC9024339 DOI: 10.3389/fmolb.2022.867494] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2022] [Accepted: 02/24/2022] [Indexed: 11/13/2022] Open
Abstract
Lung cancer has the highest tumor incidence in China. Lung squamous cell carcinoma (LUSC) is the most common type, accounting for 40–51% of primary lung cancers. LUSC is slow in growth and late in metastasis. Immune-related genes (IRGs) and immune infiltrating cells play a vital role in the clinical outcomes of LUSC. It is important to systematically study its immune gene map to help the prognosis of cancer patients. In this study, we combined the prognostic landscape and expression status of IRGs downloaded from the TCGA and InnatedDB databases and systematically analyzed the prognostic information of LUSC patients to obtain IRGs. After systematically exploring the survival analysis, prognosis-related genes were found, and the PPI network revealed that a total of 11 genes were hub genes. A two-gene prognosis risk model was established by multivariate Cox analysis. Two IRGs were closely correlated with the prognosis of LUSC. Based on these two genes, a new independent prognostic risk model was established, and this model was further verified in the GEO database. Moreover, the risk score of the model was correlated with sex, survival status, and lymphatic metastasis in LUSC patients, and the predictive risk of the prognostic risk model was significantly positively correlated with five kinds of immune cells (CD4 T cells, CD8 T cells, neutrophils, macrophages, and dendritic cells). This study comprehensively analyzed immunogenomics and presented immune-related prognostic biomarkers for LUSC.
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Affiliation(s)
- Xiaoting Zhang
- Shenzhen Bao’an District Songgang People’s Hospital, Shenzhen, China
| | - Jing Xiao
- Shenzhen Bao’an District Songgang People’s Hospital, Shenzhen, China
| | - Xian Fu
- Shenzhen Bao’an District Songgang People’s Hospital, Shenzhen, China
| | - Guicheng Qin
- Shenzhen Bao’an District Songgang People’s Hospital, Shenzhen, China
| | - Mengli Yu
- Shenzhen Bao’an District Songgang People’s Hospital, Shenzhen, China
| | - Guihong Chen
- School of Pharmaceutical Sciences, Guangzhou Medical University, Guangzhou, China
- *Correspondence: Xiaofeng Li, ; Guihong Chen,
| | - Xiaofeng Li
- Department of Laboratory Medicine, Peking University Shenzhen Hospital, Shenzhen, China
- *Correspondence: Xiaofeng Li, ; Guihong Chen,
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Mirhadi S, Tam S, Li Q, Moghal N, Pham NA, Tong J, Golbourn BJ, Krieger JR, Taylor P, Li M, Weiss J, Martins-Filho SN, Raghavan V, Mamatjan Y, Khan AA, Cabanero M, Sakashita S, Huo K, Agnihotri S, Ishizawa K, Waddell TK, Zadeh G, Yasufuku K, Liu G, Shepherd FA, Moran MF, Tsao MS. Integrative analysis of non-small cell lung cancer patient-derived xenografts identifies distinct proteotypes associated with patient outcomes. Nat Commun 2022; 13:1811. [PMID: 35383171 PMCID: PMC8983714 DOI: 10.1038/s41467-022-29444-9] [Citation(s) in RCA: 18] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2021] [Accepted: 03/17/2022] [Indexed: 12/24/2022] Open
Abstract
Non-small cell lung cancer (NSCLC) is the leading cause of cancer deaths worldwide. Only a fraction of NSCLC harbor actionable driver mutations and there is an urgent need for patient-derived model systems that will enable the development of new targeted therapies. NSCLC and other cancers display profound proteome remodeling compared to normal tissue that is not predicted by DNA or RNA analyses. Here, we generate 137 NSCLC patient-derived xenografts (PDXs) that recapitulate the histology and molecular features of primary NSCLC. Proteome analysis of the PDX models reveals 3 adenocarcinoma and 2 squamous cell carcinoma proteotypes that are associated with different patient outcomes, protein-phosphotyrosine profiles, signatures of activated pathways and candidate targets, and in adenocarcinoma, stromal immune features. These findings portend proteome-based NSCLC classification and treatment and support the PDX resource as a viable model for the development of new targeted therapies. With non-small cell lung cancer (NSCLC) being the leading cause of cancer deaths worldwide, the development of targeted therapies remains crucial. Here, the generation and multi-omics characterization of 137 NSCLC patient-derived xenografts provides a resource for potential classifications and targets.
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Affiliation(s)
- Shideh Mirhadi
- Program in Cell Biology, Hospital for Sick Children, Toronto, ON, Canada.,Department of Molecular Genetics, University of Toronto, Toronto, ON, Canada
| | - Shirley Tam
- Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada
| | - Quan Li
- Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada
| | - Nadeem Moghal
- Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada
| | - Nhu-An Pham
- Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada
| | - Jiefei Tong
- Program in Cell Biology, Hospital for Sick Children, Toronto, ON, Canada
| | - Brian J Golbourn
- John G. Rangos Sr. Research Center, Children's Hospital of Pittsburgh, and Department of Neurological Surgery, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | | | - Paul Taylor
- Program in Cell Biology, Hospital for Sick Children, Toronto, ON, Canada
| | - Ming Li
- Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada
| | - Jessica Weiss
- Department of Biostatistics, Princess Margaret Cancer Centre, Toronto, ON, Canada
| | - Sebastiao N Martins-Filho
- Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada.,Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, ON, Canada
| | - Vibha Raghavan
- Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada
| | - Yasin Mamatjan
- Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada
| | - Aafaque A Khan
- Program in Cell Biology, Hospital for Sick Children, Toronto, ON, Canada
| | - Michael Cabanero
- Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada.,Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, ON, Canada
| | - Shingo Sakashita
- Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada
| | - Kugeng Huo
- Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada
| | - Sameer Agnihotri
- John G. Rangos Sr. Research Center, Children's Hospital of Pittsburgh, and Department of Neurological Surgery, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Kota Ishizawa
- Division of Thoracic Surgery, Toronto General Hospital, University Health Network, Toronto, ON, Canada
| | - Thomas K Waddell
- Division of Thoracic Surgery, Toronto General Hospital, University Health Network, Toronto, ON, Canada.,Department of Surgery, University of Toronto, Toronto, ON, Canada
| | - Gelareh Zadeh
- Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada.,Department of Surgery, University of Toronto, Toronto, ON, Canada
| | - Kazuhiro Yasufuku
- Division of Thoracic Surgery, Toronto General Hospital, University Health Network, Toronto, ON, Canada.,Department of Surgery, University of Toronto, Toronto, ON, Canada
| | - Geoffrey Liu
- Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada.,Department of Medicine, Division of Medical Oncology, University of Toronto, Toronto, ON, Canada.,Department of Medical Biophysics, University of Toronto, Toronto, ON, Canada
| | - Frances A Shepherd
- Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada.,Department of Medicine, Division of Medical Oncology, University of Toronto, Toronto, ON, Canada
| | - Michael F Moran
- Program in Cell Biology, Hospital for Sick Children, Toronto, ON, Canada. .,Department of Molecular Genetics, University of Toronto, Toronto, ON, Canada. .,Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada.
| | - Ming-Sound Tsao
- Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada. .,Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, ON, Canada. .,Department of Medical Biophysics, University of Toronto, Toronto, ON, Canada.
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240
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Genetic Clonality as the Hallmark Driving Evolution of Non-Small Cell Lung Cancer. Cancers (Basel) 2022; 14:cancers14071813. [PMID: 35406585 PMCID: PMC8998004 DOI: 10.3390/cancers14071813] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2022] [Revised: 03/28/2022] [Accepted: 03/29/2022] [Indexed: 12/12/2022] Open
Abstract
Simple Summary Limited knowledge about NSCLC evolution has affected therapeutic strategies for many decades. The application of NGS-based techniques to studies on ITH has provided genetic insight into the contribution of clonality primary seeding, as well as to distant dissemination. To date, multiregional ITH affects accurate diagnosis and treatment decisions and is considered the main hallmark of anticancer therapy failure. Understanding the evolutionary trajectories that drive the metastatic process is critical for improving treatment strategies for this deadly condition. In this review, we discuss how the clonality of genetic alterations influence the seeding of primary and metastatic lesions of NSCLC, highlighting that wide genetic analyses may reveal the phylogenetic lineages of NSCLC evolution. Abstract Data indicate that many driver alterations from the primary tumor of non-small cell lung cancer (NSCLC) are predominantly shared across all metastases; however, disseminating cells may also acquire a new genetic landscape across their journey. By comparing the constituent subclonal mutations between pairs of primary and metastatic samples, it is possible to derive the ancestral relationships between tumor clones, rather than between tumor samples. Current treatment strategies mostly rely on the theory that metastases are genetically similar to the primary lesions from which they arise. However, intratumor heterogeneity (ITH) affects accurate diagnosis and treatment decisions and it is considered the main hallmark of anticancer therapy failure. Understanding the genetic changes that drive the metastatic process is critical for improving the treatment strategies of this deadly condition. Application of next generation sequencing (NGS) techniques has already created knowledge about tumorigenesis and cancer evolution; however, further NGS implementation may also allow to reconstruct phylogenetic clonal lineages and clonal expansion. In this review, we discuss how the clonality of genetic alterations influence the seeding of primary and metastatic lesions of NSCLC. We highlight that wide genetic analyses may reveal the phylogenetic trajectories of NSCLC evolution, and may pave the way to better management of follow-up and treatment.
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241
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Sun K, Li M, Shang M, Su X, Zhao J, Wang B, Wu C, Zhang L, Yang S, Sun X. Impact of genetic status on the survival outcomes of patients with clinical stage I non-small cell lung cancer with a radiological pure-solid appearance. Lung Cancer 2022; 166:63-69. [DOI: 10.1016/j.lungcan.2022.02.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2021] [Revised: 01/23/2022] [Accepted: 02/14/2022] [Indexed: 10/19/2022]
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242
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Seguin L, Durandy M, Feral CC. Lung Adenocarcinoma Tumor Origin: A Guide for Personalized Medicine. Cancers (Basel) 2022; 14:cancers14071759. [PMID: 35406531 PMCID: PMC8996976 DOI: 10.3390/cancers14071759] [Citation(s) in RCA: 56] [Impact Index Per Article: 28.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2022] [Revised: 03/25/2022] [Accepted: 03/28/2022] [Indexed: 12/29/2022] Open
Abstract
Simple Summary Lung cancer is the leading cause of cancer-related death worldwide, with an average 5-year survival rate of approximately 15%. Among the multiple histological type of lung cancer, adenocarcinoma is the most common. Adenocarcinoma is characterized by a high degree of heterogeneity at many levels, including histological, cellular, and molecular. Understanding the cell of origin of adenocarcinoma, and the molecular changes during tumor progression, will allow better therapeutic strategies. Abstract Lung adenocarcinoma, the major form of lung cancer, is the deadliest cancer worldwide, due to its late diagnosis and its high heterogeneity. Indeed, lung adenocarcinoma exhibits pronounced inter- and intra-tumor heterogeneity cofounding precision medicine. Tumor heterogeneity is a clinical challenge driving tumor progression and drug resistance. Several key pieces of evidence demonstrated that lung adenocarcinoma results from the transformation of progenitor cells that accumulate genetic abnormalities. Thus, a better understanding of the cell of origin of lung adenocarcinoma represents an opportunity to unveil new therapeutic alternatives and stratify patient tumors. While the lung is remarkably quiescent during homeostasis, it presents an extensive ability to respond to injury and regenerate lost or damaged cells. As the lung is constantly exposed to potential insult, its regenerative potential is assured by several stem and progenitor cells. These can be induced to proliferate in response to injury as well as differentiate into multiple cell types. A better understanding of how genetic alterations and perturbed microenvironments impact progenitor-mediated tumorigenesis and treatment response is of the utmost importance to develop new therapeutic opportunities.
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243
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Small-Molecule RAS Inhibitors as Anticancer Agents: Discovery, Development, and Mechanistic Studies. Int J Mol Sci 2022; 23:ijms23073706. [PMID: 35409064 PMCID: PMC8999084 DOI: 10.3390/ijms23073706] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2022] [Revised: 03/21/2022] [Accepted: 03/24/2022] [Indexed: 12/11/2022] Open
Abstract
Mutations of RAS oncogenes are responsible for about 30% of all human cancer types, including pancreatic, lung, and colorectal cancers. While KRAS1 is a pseudogene, mutation of KRAS2 (commonly known as KRAS oncogene) is directly or indirectly associated with human cancers. Among the RAS family, KRAS is the most abundant oncogene related to uncontrolled cellular proliferation to generate solid tumors in many types of cancer such as pancreatic carcinoma (over 80%), colon carcinoma (40-50%), lung carcinoma (30-50%), and other types of cancer. Once described as 'undruggable', RAS proteins have become 'druggable', at least to a certain extent, due to the continuous efforts made during the past four decades. In this account, we discuss the chemistry and biology (wherever available) of the small-molecule inhibitors (synthetic, semi-synthetic, and natural) of KRAS proteins that were published in the past decades. Commercial drugs, as well as investigational molecules from preliminary stages to clinical trials, are categorized and discussed in this study. In summary, this study presents an in-depth discussion of RAS proteins, classifies the RAS superfamily, and describes the molecular mechanism of small-molecule RAS inhibitors.
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244
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The High Expression of Minichromosome Maintenance Complex Component 5 Is an Adverse Prognostic Factor in Lung Adenocarcinoma. BIOMED RESEARCH INTERNATIONAL 2022; 2022:4338793. [PMID: 35360518 PMCID: PMC8961428 DOI: 10.1155/2022/4338793] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/13/2021] [Revised: 02/21/2022] [Accepted: 03/07/2022] [Indexed: 11/17/2022]
Abstract
Background. Minichromosome maintenance (MCM) genes are crucial for genomic DNA replication and are important biomarkers in tumor biology. In this study, we aimed to identify the diagnostic, therapeutic, and prognostic value of the MCM2–10 genes in patients with lung cancer. Methods. We examined the expression levels, gene networks, and protein networks of lung cancer using data from the ONCOMINE, GeneMANIA, and STRING databases. We conducted a functional enrichment analysis of MCM2–10 using the clusterProfiler package using TCGA data. The correlation between the MCM2–10 expression and lung cancer prognosis was evaluated using Cox regression analysis. The influence of clinical variables on overall survival (OS) was evaluated using univariate and multivariate analyses. The TIMER database was used to evaluate the correlation between tumor infiltrating levels and lung cancer. Kaplan–Meier Plotter pan-cancer RNA sequencing was used to estimate the correlation between the MCM5 expression and OS in different immune cell subgroups in patients with lung adenocarcinoma (LUAD). Finally, the 1-, 3-, and 5-year predictions of LUAD were performed using nomogram and calibration analysis. Results. The expression of MCM2, 3, 4, 5, 6, 7, 8, and 10 in lung cancer was higher than that for normal samples. The MCM5 expression was associated with poor OS in patients with LUAD, and prognosis was related to TNM stage, smoking status, and pathological stage. The MCM5 expression is correlated with immune invasion in LUAD and may affect prognosis due to immune infiltration. Conclusion. MCM5 may serve as a molecular biomarker for LUAD prognosis.
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245
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Bruns IB, Beltman JB. Quantifying the contribution of transcription factor activity, mutations and microRNAs to CD274 expression in cancer patients. Sci Rep 2022; 12:4374. [PMID: 35289334 PMCID: PMC8921511 DOI: 10.1038/s41598-022-08356-0] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2021] [Accepted: 03/03/2022] [Indexed: 12/15/2022] Open
Abstract
Immune checkpoint inhibitors targeting the programmed cell death protein 1 (PD-1)/programmed cell death protein ligand 1 (PD-L1) axis have been remarkably successful in inducing tumor remissions in several human cancers, yet a substantial number of patients do not respond to treatment. Because this may be partially due to the mechanisms giving rise to high PD-L1 expression within a patient, it is highly relevant to fully understand these mechanisms. In this study, we conduct a bioinformatic analysis to quantify the relative importance of transcription factor (TF) activity, microRNAs (miRNAs) and mutations in determining PD-L1 (CD274) expression at mRNA level based on data from the Cancer Genome Atlas. To predict individual CD274 levels based on TF activity, we developed multiple linear regression models by taking the expression of target genes of the TFs known to directly target PD-L1 as independent variables. This analysis showed that IRF1, STAT1, NFKB and BRD4 are the most important regulators of CD274 expression, explaining its mRNA levels in 90–98% of the patients. Because the remaining patients had high CD274 levels independent of these TFs, we next investigated whether mutations associated with increased CD274 mRNA levels, and low levels of miRNAs associated with negative regulation of CD274 expression could cause high CD274 levels in these patients. We found that mutations or miRNAs offered an explanation for high CD274 levels in 81–100% of the underpredicted patients. Thus, CD274 expression is largely explained by TF activity, and the remaining unexplained cases can largely be explained by mutations or low miRNA abundance.
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Affiliation(s)
- Imke B Bruns
- Division of Drug Discovery and Safety, Leiden Academic Centre for Drug Research, Leiden University, Leiden, The Netherlands
| | - Joost B Beltman
- Division of Drug Discovery and Safety, Leiden Academic Centre for Drug Research, Leiden University, Leiden, The Netherlands.
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246
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An In Vivo Inflammatory Loop Potentiates KRAS Blockade. Biomedicines 2022; 10:biomedicines10030592. [PMID: 35327394 PMCID: PMC8945202 DOI: 10.3390/biomedicines10030592] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2022] [Revised: 02/24/2022] [Accepted: 02/25/2022] [Indexed: 12/27/2022] Open
Abstract
KRAS (KRAS proto-oncogene, GTPase) inhibitors perform less well than other targeted drugs in vitro and fail clinical trials. To investigate a possible reason for this, we treated human and murine tumor cells with KRAS inhibitors deltarasin (targeting phosphodiesterase-δ), cysmethynil (targeting isoprenylcysteine carboxylmethyltransferase), and AA12 (targeting KRASG12C), and silenced/overexpressed mutant KRAS using custom-designed vectors. We showed that KRAS-mutant tumor cells exclusively respond to KRAS blockade in vivo, because the oncogene co-opts host myeloid cells via a C-C-motif chemokine ligand 2 (CCL2)/interleukin-1 beta (IL-1β)-mediated signaling loop for sustained tumorigenicity. Indeed, KRAS-mutant tumors did not respond to deltarasin in C-C motif chemokine receptor 2 (Ccr2) and Il1b gene-deficient mice, but were deltarasin-sensitive in wild-type and Ccr2-deficient mice adoptively transplanted with wild-type murine bone marrow. A KRAS-dependent pro-inflammatory transcriptome was prominent in human cancers with high KRAS mutation prevalence and poor predicted survival. Our findings support that in vitro cellular systems are suboptimal for anti-KRAS drug screens, as these drugs function to suppress interleukin-1 receptor 1 (IL1R1) expression and myeloid IL-1β-delivered pro-growth effects in vivo. Moreover, the findings support that IL-1β blockade might be suitable for therapy for KRAS-mutant cancers.
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247
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Gao SH, Wang GZ, Wang LP, Feng L, Zhou YC, Yu XJ, Liang F, Yang FY, Wang Z, Sun BB, Wang D, Liang LJ, Xie DW, Zhao S, Feng HP, Li X, Li KK, Tang TS, Huang YC, Wang SQ, Zhou GB. Mutations and clinical significance of calcium voltage-gated channel subunit alpha 1E (CACNA1E) in non-small cell lung cancer. Cell Calcium 2022; 102:102527. [PMID: 35026540 DOI: 10.1016/j.ceca.2022.102527] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2021] [Revised: 01/02/2022] [Accepted: 01/04/2022] [Indexed: 12/14/2022]
Abstract
CACNA1E is a gene encoding the ion-conducting α1 subunit of R-type voltage-dependent calcium channels, whose roles in tumorigenesis remain to be determined. We previously showed that CACNA1E was significantly mutated in patients with non-small cell lung cancer (NSCLC) who were long-term exposed to household air pollution, with a mutation rate of 19% (15 of 79 cases). Here we showed that CACNA1E was also mutated in 207 (12.8%) of the 1616 patients with NSCLC in The Cancer Genome Atlas (TCGA) datasets. At mRNA and protein levels, CACNA1E was elevated in tumor tissues compared to counterpart non-tumoral lung tissues in NSCLCs of the public datasets and our settings, and its expression level was inversely associated with clinical outcome of the patients. Overexpression of wild type (WT) or A275S or R249G mutant CACNA1E transcripts promoted NSCLC cell proliferation with activation of epidermal growth factor receptor (EGFR) signaling pathway, whereas knockdown of this gene exerted inhibitory effects on NSCLC cells in vitro and in vivo. CACNA1E increased current density and Ca2+ entrance, whereas calcium channel blockers inhibited NSCLC cell proliferation. These data indicate that CACNA1E is required for NSCLC cell proliferation, and blockade of this oncoprotein may have therapeutic potentials for this deadly disease.
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Affiliation(s)
- San-Hui Gao
- State Key Laboratory of Membrane Biology, Institute of Zoology, Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, 100101, China; State Key Laboratory of Molecular Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China
| | - Gui-Zhen Wang
- State Key Laboratory of Molecular Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China.
| | - Li-Peng Wang
- State Key Laboratory of Membrane Biology, College of Life Sciences, Peking University, Beijing, 100091, China
| | - Lin Feng
- Department of Pathology, Chinese PLA General Hospital, Beijing, 100853, China
| | - Yong-Chun Zhou
- Department of Thoracic Surgery, the Third Affiliated Hospital of Kunming Medical University (Yunnan Tumor Hospital), Kunming, 650106, China
| | - Xian-Jun Yu
- State Key Laboratory of Membrane Biology, Institute of Zoology, Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, 100101, China
| | - Fan Liang
- State Key Laboratory of Membrane Biology, Institute of Zoology, Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, 100101, China; State Key Laboratory of Molecular Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China
| | - Fu-Ying Yang
- State Key Laboratory of Molecular Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China
| | - Zheng Wang
- State Key Laboratory of Molecular Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China
| | - Bei-Bei Sun
- State Key Laboratory of Molecular Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China
| | - Di Wang
- State Key Laboratory of Molecular Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China
| | - Li-Jun Liang
- State Key Laboratory of Molecular Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China
| | - Da-Wei Xie
- State Key Laboratory of Molecular Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China
| | - Song Zhao
- State Key Laboratory of Membrane Biology, Institute of Zoology, Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, 100101, China
| | - Hai-Ping Feng
- State Key Laboratory of Membrane Biology, Institute of Zoology, Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, 100101, China
| | - Xueqing Li
- Computer Science Department, University of North Georgia, Dahlonega, GA, 30597, United States
| | - Keqin Kathy Li
- Computer Science Department, University of North Georgia, Dahlonega, GA, 30597, United States
| | - Tie-Shan Tang
- State Key Laboratory of Membrane Biology, Institute of Zoology, Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, 100101, China
| | - Yun-Chao Huang
- Department of Thoracic Surgery, the Third Affiliated Hospital of Kunming Medical University (Yunnan Tumor Hospital), Kunming, 650106, China
| | - Shi-Qiang Wang
- State Key Laboratory of Membrane Biology, College of Life Sciences, Peking University, Beijing, 100091, China
| | - Guang-Biao Zhou
- State Key Laboratory of Molecular Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China.
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248
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Hecht SS, Hatsukami DK. Smokeless tobacco and cigarette smoking: chemical mechanisms and cancer prevention. Nat Rev Cancer 2022; 22:143-155. [PMID: 34980891 PMCID: PMC9308447 DOI: 10.1038/s41568-021-00423-4] [Citation(s) in RCA: 66] [Impact Index Per Article: 33.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 11/05/2021] [Indexed: 12/19/2022]
Abstract
Tobacco products present a deadly combination of nicotine addiction and carcinogen exposure resulting in millions of cancer deaths per year worldwide. A plethora of smokeless tobacco products lead to unacceptable exposure to multiple carcinogens, including the tobacco-specific nitrosamine N'-nitrosonornicotine, a likely cause of the commonly occurring oral cavity cancers observed particularly in South-East Asian countries. Cigarettes continue to deliver a large number of carcinogens, including tobacco-specific nitrosamines, polycyclic aromatic hydrocarbons and volatile organic compounds. The multiple carcinogens in cigarette smoke are responsible for the complex mutations observed in critical cancer genes. The exposure of smokeless tobacco users and smokers to carcinogens and toxicants can now be monitored by urinary and DNA adduct biomarkers that may be able to identify those individuals at highest risk of cancer so that effective cancer prevention interventions can be initiated. Regulation of the levels of carcinogens, toxicants and nicotine in tobacco products and evidence-based tobacco control efforts are now recognized as established pathways to preventing tobacco related cancer.
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Affiliation(s)
- Stephen S Hecht
- Masonic Cancer Center, University of Minnesota, Minneapolis, MN, USA.
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249
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Ricciuti B, Arbour KC, Lin JJ, Vajdi A, Vokes N, Hong L, Zhang J, Tolstorukov MY, Li YY, Spurr LF, Cherniack AD, Recondo G, Lamberti G, Wang X, Venkatraman D, Alessi JV, Vaz VR, Rizvi H, Egger J, Plodkowski AJ, Khosrowjerdi S, Digumarthy S, Park H, Vaz N, Nishino M, Sholl LM, Barbie D, Altan M, Heymach JV, Skoulidis F, Gainor JF, Hellmann MD, Awad MM. Diminished Efficacy of Programmed Death-(Ligand)1 Inhibition in STK11- and KEAP1-Mutant Lung Adenocarcinoma Is Affected by KRAS Mutation Status. J Thorac Oncol 2022; 17:399-410. [PMID: 34740862 PMCID: PMC10980559 DOI: 10.1016/j.jtho.2021.10.013] [Citation(s) in RCA: 158] [Impact Index Per Article: 79.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2021] [Revised: 10/15/2021] [Accepted: 10/21/2021] [Indexed: 11/26/2022]
Abstract
INTRODUCTION STK11 and KEAP1 mutations (STK11 mutant [STK11MUT] and KEAP1MUT) are among the most often mutated genes in lung adenocarcinoma (LUAD). Although STK11MUT has been associated with resistance to programmed death-(ligand)1 (PD-[L]1) inhibition in KRASMUT LUAD, its impact on immunotherapy efficacy in KRAS wild-type (KRASWT) LUAD is currently unknown. Whether KEAP1MUT differentially affects outcomes to PD-(L)1 inhibition in KRASMUT and KRASWT LUAD is also unknown. METHODS Clinicopathologic and genomic data were collected from September 2013 to September 2020 from patients with advanced LUAD at the Dana-Farber Cancer Institute/Massachusetts General Hospital cohort and the Memorial Sloan Kettering Cancer Center/MD Anderson Cancer Center cohort. Clinical outcomes to PD-(L)1 inhibition were analyzed according to KRAS, STK11, and KEAP1 mutation status in two independent cohorts. The Cancer Genome Atlas transcriptomic data were interrogated to identify differences in tumor gene expression and tumor immune cell subsets, respectively, according to KRAS/STK11 and KRAS/KEAP1 comutation status. RESULTS In the combined cohort (Dana-Farber Cancer Institute/Massachusetts General Hospital + Memorial Sloan Kettering Cancer Center/MD Anderson Cancer Center) of 1261 patients (median age = 61 y [range: 22-92], 708 women [56.1%], 1065 smokers [84.4%]), KRAS mutations were detected in 536 cases (42.5%), and deleterious STK11 and KEAP1 mutations were found in 20.6% (260 of 1261) and 19.2% (231 of 1202) of assessable cases, respectively. In each independent cohort and in the combined cohort, STK11 and KEAP1 mutations were associated with significantly worse progression-free (STK11 hazard ratio [HR] = 2.04, p < 0.0001; KEAP1 HR = 2.05, p < 0.0001) and overall (STK11 HR = 2.09, p < 0.0001; KEAP1 HR = 2.24, p < 0.0001) survival to immunotherapy uniquely among KRASMUT but not KRASWT LUADs. Gene expression ontology and immune cell enrichment analyses revealed that the presence of STK11 or KEAP1 mutations results in distinct immunophenotypes in KRASMUT, but not in KRASWT, lung cancers. CONCLUSIONS STK11 and KEAP1 mutations confer worse outcomes to immunotherapy among patients with KRASMUT but not among KRASWT LUAD. Tumors harboring concurrent KRAS/STK11 and KRAS/KEAP1 mutations display distinct immune profiles in terms of gene expression and immune cell infiltration.
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Affiliation(s)
- Biagio Ricciuti
- Lowe Center for Thoracic Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Kathryn C Arbour
- Department of Medicine, Weill Cornell Medical College, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Jessica J Lin
- Department of Medicine, Massachusetts General Hospital, Boston, Massachusetts
| | - Amir Vajdi
- Department of Analytics and Informatics, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Natalie Vokes
- Lowe Center for Thoracic Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Lingzhi Hong
- Department of Thoracic/Head and Neck Medical Oncology, University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Jianjun Zhang
- Department of Thoracic/Head and Neck Medical Oncology, University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Michael Y Tolstorukov
- Department of Analytics and Informatics, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Yvonne Y Li
- Department of Analytics and Informatics, Dana-Farber Cancer Institute, Boston, Massachusetts; Cancer Program, Broad Institute of Harvard and Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts
| | - Liam F Spurr
- Department of Analytics and Informatics, Dana-Farber Cancer Institute, Boston, Massachusetts; Cancer Program, Broad Institute of Harvard and Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts
| | - Andrew D Cherniack
- Department of Analytics and Informatics, Dana-Farber Cancer Institute, Boston, Massachusetts; Cancer Program, Broad Institute of Harvard and Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts
| | - Gonzalo Recondo
- Lowe Center for Thoracic Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Giuseppe Lamberti
- Lowe Center for Thoracic Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Xinan Wang
- Harvard Graduate School of Arts and Sciences, Harvard University, Cambridge, Massachusetts; Department of Environmental Health, Harvard T.H. Chan School of Public Health, Harvard University, Boston, Massachusetts
| | - Deepti Venkatraman
- Lowe Center for Thoracic Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Joao V Alessi
- Lowe Center for Thoracic Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Victor R Vaz
- Lowe Center for Thoracic Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Hira Rizvi
- Department of Medicine, Weill Cornell Medical College, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Jacklynn Egger
- Department of Medicine, Weill Cornell Medical College, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Andrew J Plodkowski
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Sara Khosrowjerdi
- Department of Medicine, Massachusetts General Hospital, Boston, Massachusetts
| | - Subba Digumarthy
- Department of Medicine, Massachusetts General Hospital, Boston, Massachusetts
| | - Hyesun Park
- Department of Radiology, Brigham and Women's Hospital, Boston, Massachusetts
| | - Nuno Vaz
- Department of Radiology, Brigham and Women's Hospital, Boston, Massachusetts
| | - Mizuki Nishino
- Department of Radiology, Brigham and Women's Hospital, Boston, Massachusetts
| | - Lynette M Sholl
- Department of Pathology, Brigham and Women's Hospital, Boston, Massachusetts
| | - David Barbie
- Lowe Center for Thoracic Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Mehmet Altan
- Department of Thoracic/Head and Neck Medical Oncology, University of Texas MD Anderson Cancer Center, Houston, Texas
| | - John V Heymach
- Department of Thoracic/Head and Neck Medical Oncology, University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Ferdinandos Skoulidis
- Department of Thoracic/Head and Neck Medical Oncology, University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Justin F Gainor
- Department of Medicine, Massachusetts General Hospital, Boston, Massachusetts
| | - Matthew D Hellmann
- Department of Medicine, Weill Cornell Medical College, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Mark M Awad
- Lowe Center for Thoracic Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts.
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Kolesar J, Peh S, Thomas L, Baburaj G, Mukherjee N, Kantamneni R, Lewis S, Pai A, Udupa KS, Kumar An N, Rangnekar VM, Rao M. Integration of liquid biopsy and pharmacogenomics for precision therapy of EGFR mutant and resistant lung cancers. Mol Cancer 2022; 21:61. [PMID: 35209919 PMCID: PMC8867675 DOI: 10.1186/s12943-022-01534-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2021] [Accepted: 02/07/2022] [Indexed: 11/22/2022] Open
Abstract
The advent of molecular profiling has revolutionized the treatment of lung cancer by comprehensively delineating the genomic landscape of the epidermal growth factor receptor (EGFR) gene. Drug resistance caused by EGFR mutations and genetic polymorphisms of drug metabolizing enzymes and transporters impedes effective treatment of EGFR mutant and resistant lung cancer. This review appraises current literature, opportunities, and challenges associated with liquid biopsy and pharmacogenomic (PGx) testing as precision therapy tools in the management of EGFR mutant and resistant lung cancers. Liquid biopsy could play a potential role in selection of precise tyrosine kinase inhibitor (TKI) therapies during different phases of lung cancer treatment. This selection will be based on the driver EGFR mutational status, as well as monitoring the development of potential EGFR mutations arising during or after TKIs treatment, since some of these new mutations may be druggable targets for alternative TKIs. Several studies have identified the utility of liquid biopsy in the identification of EGFR driver and acquired resistance with good sensitivities for various blood-based biomarkers. With a plethora of sequencing technologies and platforms available currently, further evaluations using randomized controlled trials (RCTs) in multicentric, multiethnic and larger patient cohorts could enable optimization of liquid-based assays for the detection of EGFR mutations, and support testing of CYP450 enzymes and drug transporter polymorphisms to guide precise dosing of EGFR TKIs.
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Affiliation(s)
- Jill Kolesar
- Department of Pharmacy Practice & Science, University of Kentucky, Lexington, KY, 40536, USA
| | - Spencer Peh
- Department of Pharmacy Practice & Science, University of Kentucky, Lexington, KY, 40536, USA
| | - Levin Thomas
- Department of Pharmacy Practice, Manipal College of Pharmaceutical Sciences, Manipal Academy of Higher Education, Manipal, Karnataka, 576104, India
| | - Gayathri Baburaj
- Department of Pharmacy Practice, Manipal College of Pharmaceutical Sciences, Manipal Academy of Higher Education, Manipal, Karnataka, 576104, India
| | - Nayonika Mukherjee
- Department of Pharmacy Practice, Manipal College of Pharmaceutical Sciences, Manipal Academy of Higher Education, Manipal, Karnataka, 576104, India
| | - Raveena Kantamneni
- Department of Pharmacy Practice, Manipal College of Pharmaceutical Sciences, Manipal Academy of Higher Education, Manipal, Karnataka, 576104, India
| | - Shirley Lewis
- Department of Radiotherapy and Oncology, Kasturba Medical College, Manipal Comprehensive Cancer Care Centre, Manipal Academy of Higher Education, Manipal, Karnataka, 576104, India
| | - Ananth Pai
- Department of Medical Oncology, Kasturba Medical College, Manipal Comprehensive Cancer Care Centre, Manipal Academy of Higher Education, Manipal, Karnataka, 576104, India
| | - Karthik S Udupa
- Department of Medical Oncology, Kasturba Medical College, Manipal Comprehensive Cancer Care Centre, Manipal Academy of Higher Education, Manipal, Karnataka, 576104, India
| | - Naveena Kumar An
- Department of Surgical Oncology, Kasturba Medical College, Manipal Comprehensive Cancer Care Centre, Manipal Academy of Higher Education, Manipal, Karnataka, 576104, India
| | - Vivek M Rangnekar
- Markey Cancer Centre and Department of Radiation Medicine, University of Kentucky, Lexington, KY, 40536, USA
| | - Mahadev Rao
- Department of Pharmacy Practice, Manipal College of Pharmaceutical Sciences, Manipal Academy of Higher Education, Manipal, Karnataka, 576104, India.
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